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REGISTRATIONGUIDE

JSM2015gathering of statisticians

Join the largest

in the world at

August 8–13

Seattle, Washington | August 8–13, 2015 www.amstat.org/jsmregistration

More than 6,000 attendees from 52 countries

More than 1,000 student attendees

More than 600 sessions

75+ employers hiring for more than 200 positions

80+ exhibitors

With more than 3,000 presentations arranged into 183 invited sessions, 400 contributed sessions, and 400 individual poster and speed poster presentations, the 2015 Joint Statistical Meetings is one of the largest statistical events in the world.

It is also one of the broadest, with topics ranging from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science.

JSM also offers a unique opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration. Be-ginning statisticians (including current students) are able to learn from and interact with senior members of the profession.

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Welcome

2 | Registration Guide 2015

JSM HIGHLIGHTS

Scott Berry, Berry Consultants

Peter Bickel, University of California, Berkeley

Norm Breslow, University of Washington

Christy Chuang-Stein, Pfizer Inc.

Peter Diggle, Lancaster University

Nancy Flournoy, University of Missouri- Columbia

Iain Johnstone, Stanford University

Michael Jordan, University of California, Berkeley

John Lafferty, The University of Chicago

Wendy Martinez, Bureau of Labor Statistics

Sastry Pantula, Oregon State University

Terry Speed, Walter & Eliza Hall Institute of Medical Research in Melbourne & University of California, Berkeley

John Wellner, University of Washington

Bin Yu, University of California, Berkeley

Meet, mingle with, and listen to such well-known statisticians as:

Joint Statistical Meetings 2015 | 3

JSM HIGHLIGHTS

Reduced JSM Registration Fees

Reduced Professional Development Fees

Reduced Career Service Fee

Free Student Mixer

Networking with Renowned Statisticians

Membership in the ASA for $17

Student Benefitsand Opportunities

SundayFirst-Time Attendee Orientation and Reception12:30 p.m. – 2:00 p.m.

ASA Awards Celebration and Editor Appreciation7:30 p.m. – 8:30 p.m.

JSM Opening Mixer(In the EXPO!)8:30 p.m. – 10:30 p.m.

MondayASA President’s Invited Address4:00 p.m. – 5:50 p.m.

JSM Student Mixer Sponsored by Monsanto6:00 p.m. – 8:00 p.m.

Korean International Statistical Society Annual Meeting6:00 p.m. – 7:30 p.m.

International Indian Statistical Association General Body Meeting and Mixer7:00 p.m. – 8:30 p.m.

Special Events

TuesdayIMS Business Meeting2:30 p.m. – 3:30 p.m.

Statistical Society of Canada Reception5:30 p.m. – 7:30 p.m.

ASA President’s Address and Founders & Fellows Recognition8:00 p.m. – 9:30 p.m.

JSM Dance Party and Lounge9:30 p.m. – midnight

WednesdayInternational Chinese Statistical Association Annual Members Meeting6:00 p.m. – 8:00 p.m.


Monday, August 10Speed Session #1: Topics in Imaging Biostatistics, Computing, and Modeling8:30 a.m. –10:20 a.m., Oral Presentations10:30 a.m. – 11:15 a.m., Poster Presentations

Speed Session #2: Topics in Statistical Methods and Applications8:30 a.m. – 10:20 a.m., Oral Presentations11:35 a.m. – 12:20 p.m., Poster Presentations

Speed Session #3: Topics on General Methodology in Public Health10:30 a.m. – 12:20 p.m., Oral Presentations2:00 p.m. – 2:45 p.m., Poster Presentations

Speed Session #4: Recent Advance of Statistical Methods in Biometrics10:30 a.m. – 10:20 a.m., Oral Presentations3:05 p.m. – 3:50 p.m., Poster Presentations

Tuesday, August 11Speed Session #5: Health Policy and Mental Health Statistics8:30 a.m. – 10:20 a.m., Oral Presentations10:30 a.m. – 11:15 a.m., Poster Presentations

Speed Session #6: Methods in Machine and Data Mining8:30 a.m. – 10:20 a.m., Oral Presentations11:35 a.m. – 12:20 p.m., Poster Presentations

Speed Session #7: Topics in Genetics and Biopharmaceutical Applications10:30 a.m. – 12:20 p.m., Oral Presentations2:00 p.m. – 2:45 p.m., Poster Presentations

Speed Session #8: Bayesian Models and Inference10:30 a.m. – 12:20 p.m., Oral Presentations3:05 p.m. – 3:50 p.m., Poster Presentations

Wednesday, August 12Speed Session #9: Topics in Statistics in Sports and Education8:30 a.m. – 10:20 a.m., Oral Presentations10:30 a.m. – 11:15 a.m., Poster Presentations

Speed Session #10: Issues in Sample Survey and Government Statistics8:30 a.m. – 10:20 a.m., Oral Presentations11:35 a.m. – 12:20 p.m., Poster Presentations

Be sure to catch a JSM speed session! Each consists of 20 oral presentations of approxi-mately five minutes, followed by a poster session using electronic poster boards later the same day.

Speed Sessions

JSM HIGHLIGHTS


JSM HIGHLIGHTS

The popular Introductory overview lectures will return in 2015, with the following four sessions scheduled:

• Personalized Medicine, organized by Michael Kosorok of The University of North Carolina at Chapel Hill

• New Perspectives in Spatial and Spatio-Temporal Data Analysis, organized by Debashis Mondal of The University of Chicago

• Statistical Issues in Computational Neuroscience, organized by Hongtu Zhu of The University of North Carolina at Chapel Hill

• Recent Advances in Machine Learning and Data Mining, organized by Xiaotong Shen of the University of Minnesota

Introductory Overview Lectures

It is impossible to do justice to the breadth and depth of the scientific program by highlighting just these highly visible ses-sions. With 45 parallel sessions taking place during most of the meetings, everyone is guaranteed to find pre-sentations of interest.


IMS Presidential AddressErwin Bolthausen University of Zurich

Some Thoughts About the Relations Between Statistics and Probability TheoryMonday, August 10, 8:00 p.m.

ASA Presidential Address David Morganstein Westat

Statistics: Making Better DecisionsTuesday, August 11, 8:00 p.m.

ASA Deming LectureWilliam Q. MeekerIowa State University Reliability: The Other Dimension of Quality Tuesday, August 11, 4:00 p.m.

COPSS Fisher LectureStephen FienbergCarnegie Mellon University R.A. Fisher and the Statistical ABCs Wednesday, August 12, 4:00 p.m.

Featured Speakers

JSM HIGHLIGHTS


IMS Medallion Lecture IJohn Lafferty The University of Chicago

Computational Tradeoffs in Statistical EstimationSunday, August 9, 2:00 p.m.

IMS Medallion Lecture IINicolai Meinshausen ETH Zurich

Causal Discovery with Confidence Using Invariance PrinciplesMonday, August 10, 2:00 p.m.

IMS Medallion Lecture IIIMichael Kosorok, The University of North Carolina at Chapel Hill

Recent Developments in Machine Learning for Personalized MedicineTuesday, August 11, 2:00 p.m.

IMS Medallion Lecture IVJiashun Jin Carnegie Mellon University

Spectral Clustering, with Applications in Gene Microarrays and Social NetworksWednesday, August 12, 2:00 p.m.

Le Cam LectureJon Wellner University of Washington

Maximum Likelihood in Modern Times: The Ugly, the Bad, and the GoodMonday, August 10, 10:30 a.m.

Wald LecturesSusan A. Murphy University of Michigan

Wald I—Sequential Decision Making and Personalized Treatment: The Future Is Now!Tuesday, August 11, 4:00 p.m.

Wald II—Offline Data Analysis Methods and Learning Algorithms for Constructing Mobile Treatment Policies Wednesday, August 12, 10:30 a.m.

Wald III—Continual, Online Learning in Sequential Decision Making Thursday, August 13, 10:30 a.m.

Named Lectures

JSM HIGHLIGHTS


AAAS Science & Technology Policy Fellowships

American Institutes for Research

American Mathematical Society

American Statistical Association (ASA)

Aptech Systems, Inc.

Axio Research, LLC

Berry Consultants

Bureau of Economic Analysis

CRC Press/Taylor & Francis Group

Cambridge University Press

Cengage Learning

Cytel Inc.

Deloitte Consulting LLP

ELSEVIER BV

Fred Hutchinson Cancer Research Center

Frontline Systems, Inc.

GCE Solutions, Inc.

GenPro International Inc.

Gilead Sciences

Green Key Resources

Hawkes Learning

IBM

Institute of Mathematical Statistics (IMS)

JMP software from SAS

JSM 2016

Marketplace

Minitab

NCSS, Inc.

National Science Foundation

National Security Agency

Oxford University Press

Penn State World Campus of The Pennsylvania State University

Revolution Analytics

RStudio

SAS Institute Education

SAS Institute R&D

SAS Institute Publications

SIAM

Salford Systems

Springer

StataCorp LP

Statistical Society of Canada (SSC)

Statistics.com

Texas A&M University-Kingsville

The Lotus Group LLC

U.S. Census Bureau

USDA/NASS

University of Washington, Dept. of Biostatistics

Valesta Clinical Research Solutions

W.H. Freeman & Company

Westat

Wiley

Wolfram Research

XLSTAT

JSM exhibitors provide you the opportunity to observe and learn about state-of-the-art products and services related to the statistical industry. Check out the companies already planning to join us in Seattle.

Exhibitors

August 9 1:00 p.m. – 6:00 p.m.

Opening Mixer

8:30 p.m. – 10:30 p.m.

August 10 9:00 a.m. – 5:30 p.m.

August 11 9:00 a.m. – 5:30 p.m.

August 12 9:00 a.m. – 2:30 p.m.

Exhibit Hours

JSM HIGHLIGHTS


In addition to the 45 parallel sessions taking place during most of the meetings, there are the other ac-tivities you can add to your program for a fee: Personal Development courses and workshops, roundtable dis-cussions, and the Career Service. In short, we expect you to be very busy … and to not mind it at all.

ADD-ONS


Early Late

Student - Member $65 $90

Student - Nonmember $95 $125

Nonstudent - Member $125 $150

Nonstudent - Nonmember $175 $200

Join the hundreds of applicants using the Career Service at JSM to begin or further their careers in statistics.

Meet with representatives from more than 75 leading statistical employers.

Applicant registration includes …

• Onsite access to the Career Service

• Access to the online job postings beginning June 1

• Advance, onsite, and post-JSM access to the online Career Service Message Center to contact employers of interest

Some Past EmployersAbbVie

Bank of AmericaCapital One

CIAEli Lilly and Company

U.S. Food and Drug AdministrationGenentech

National Security AgencyNovartis

SASState Farm

Walt DisneyWestat

and more...

Fees

ADD-ONS Career Service

Career Service


For great discussion and a networking event that doesn’t bust your wallet, register for an A.M. roundtable discussion, offered Monday through Wednesday from 7:00 a.m. – 8:15 a.m. Tickets are just $20.

If early morning isn’t your style, P.M. roundtables also offer great discussion and networking opportunities and are held Monday through Wednesday from 12:30 p.m. – 1:50 p.m. Tickets are $45.

ADD-ONS Roundtables

Speakers with Lunch

If listening to a fascinating talk while having lunch with friends and colleagues sounds good to you, sign up for one of the speakers with lunch events. These lunches also offer great discussion and networking opportunities.

A.M. and P.M. Roundtable Discussions

How To RegisterRegister early (May 29 for discounted rates) using the form in the back of this guide, or register online at www.amstat.org/ jsmregistration.


Sunday’s LunchHouse salad, Washington roast

chicken, bleu cheese mashed potatoes, green bean salad with

red wine demi-glace, rolls and butter, dessert, and water and iced tea. Chef’s choice of veg-etarian menu is also available.

P.M. ROUNDTABLE DISCUSSIONS Sunday, August 9, 2015

12:30 p.m. – 1:50 p.m.

$45 each (includes meal)Fee

Sunday—Speaker with Lunch

SPAIG Committee SL01 Siddhartha Dalal, AIG

Challenges in Risk Analysis of Complex Systems: From Space Shuttle Challenger and Dirty Bombs to Medical Drugs and Chemicals

Statistical models are playing an increasingly important role in risk analysis. However, with the increased ability to collect and analyze real-time data, the field of risk analysis is entering a new phase based on real-time probabilistic risk analysis. I will illustrate this new paradigm in the context of manag-ing risks associated with complex systems, including space shuttles, illicit nuclear materials crossing national boundaries, and dangerous medical drugs.

ADD-ONS Roundtables


A.M. ROUNDTABLE DISCUSSIONS Monday, August 10, 20157:00 a.m. – 8:15 a.m.

$20 each (includes continental breakfast)Fee

Continental BreakfastHouse-made pastries, seasonal fruit, local Greek yogurt, and granola. Served with a cup of coffee, tea, or juice.

Government Statistics Section ML01Issues in Implementing Adaptive-Survey DesignPeter Miller, U.S. Census Bureau

Participants will gain a broader understanding of how adaptive design is being used in survey research, along with its promise and challenges.

Health Policy Statistics SectionML02Design and Analysis Consider-ations for Integrating Mobile Health (mHealth) Technology into Health Care and Clinical ResearchRickey Carter, Mayo Clinic

In this roundtable, we encour-age participants to share ex-periences integrating mHealth technologies into research.

Section on Statistical EducationML03Writing in the Statistics ClassroomKim Love-Myers, Statistical Consulting Center, UGA

We will discuss how to incorpo-rate writing into the classroom and the wider setting of higher education for statistics students

ML04ENgaging and Adaptive Blended LEarning (ENABLE): A Hybrid-Flexible (HyFlex) Model for Teaching and Learning in Large ClassesJackie Miller, University of Michigan

This roundtable seeks to engage folks currently using an instructional model that leverages technology to teach a large number of students and people interested in knowing more about models like ENABLE.

Section on Statistical ConsultingML05Teaching and Consulting: A One-to-One MappingJonathan Berkowitz, University of Brit-ish Columbia

We will discuss similarities be-tween a teaching persona and a consulting persona, ways to put clients and students at ease, ex-planations of statistical concepts suitable for both the classroom and boardroom, establishing the tone at the first meeting and the first class, setting expectations, giving feedback, and more.

Section on Statistical Learning and Data MiningML06Practical Optimization for Real-World Statistical ProblemsGlen Colopy, University of Oxford

This roundtable will allow attendees to share software and learning resources that have assisted them in applied optimization problems and describe hurdles they’re facing

in applying optimization to their statistical work.

Section on Statistics in EpidemiologyML07Statistical Issues in the Analysis of Electronic Health Record DataSebastien Haneuse, Harvard School of Public Health

The complexity and high-dimensional nature of EHR data poses additional challenges for statisticians. We will discuss these issues in general and in their own contexts, as well as discuss recent methodologic developments in the area.

Survey Research MethodsML08Bayesian Small-Area Unit-Level Modeling: A Discussion of Vi-able ApproachesDonald Malec, National Center for Health Statistics

We will hear the experiences of researchers using full Bayesian methods for modeling survey outcomes at the unit level.

Section on Statistics and the EnvironmentML09Dependence in Spatial and Multivariate ExtremesDan Cooley, Colorado State University

We will discuss the spectral representation for multivariate extremes and modeling in the asymptotically dependent and asymptotically independent cases.

ADD-ONS Roundtables


Section on Physical and Engineering SciencesML11Academia and Industry: Can a Statistician Move Successfully from One to the Other?Sabyasachi Basu, The Boeing Company

We will discuss how a statisti-cian can successfully transition from academia to industry and vice versa.

Biopharmaceutical Section ML12The Influence of Clinically and Statistically Meaningful Differences in Risk Benefit: A Case Study Tammy Massie

This discussion will focus on the evolution of the benefit-risk assessment approaches in the licensure process.

Monday—Speaker with Lunch

Section on Statistics in SportsML10Tim Swartz, Simon Fraser University

Some Recent Work in Twenty20 Cricket

This talk begins with an overview of the sport of cricket and makes analogies with baseball. A simulator for Twenty20 cricket is then proposed to investigate various problems related to the sport. In particular, we consider player evaluation, the determina-tion of optimal team lineups, and the contribution of fielding.

P.M. ROUNDTABLE DISCUSSIONS Monday, August 10, 2015

12:30 p.m. – 1:50 p.m.


Monday’s LunchHouse salad, house smoked

salmon, creamy apple risotto, grilled asparagus, rolls and but-ter, dessert, and water and iced tea. Chef’s choice of vegetarian

menu is also available..

ML13Phase 3 Biosimilars Trials: Topics of Interest Lori Davis, InVentiv Health Clinical

We will discuss questions/topics specifically regarding phase III biosimilars trials.

Government Statistics Section ML14Applications of Regression Trees in Survey Data Analysis Daniell Toth, Bureau of Labor Statistics

We will focus on methods for constructing regression trees and applications in survey research. We also will consider software that provides recursive partitioning algorithms.

Health Policy Statistics SectionML15Statistical Methods for Benefit-Risk Assessment to Meet Regu-latory Agency RequirementsT. Paulette Ceesay, Merck & Co, Inc.

We will focus on the statistical methods that have been and can be used for comparative benefit-risk assessment in vari-ous therapeutic areas.

Quality and Productivity SectionML16Quality Anyone? Statistical Process Control to Make Better Decisions and Get Your Process Under Control Erin Tanenbaum, NORC at the University of Chicago

This roundtable will focus on statistical process control fundamentals and how statisti-cians use them to understand and improve process quality or timeliness.

Section on Bayesian Statistical Science ML17Robustness and Bayesian Methods Steven MacEachern, Ohio State University

We will focus on the various proposals to modify Bayesian methods to handle “outliers” and deal with model misspecification.

Section on Statistical Computing ML18Bayesian Computation for High-Dimensional Data Sets Naveen Narisetty, University of Michigan

We will discuss some of the existing Bayesian methods and computational algorithms for high-dimensional data sets.

Section on Statistical ConsultingML19Statistical Consulting: The Personal and the Professional Marlene Egger, University of Utah, DFPM

This roundtable will include a wide-ranging discussion of per-sonal balance in the profession of statistical consulting.

Section on Statistical Education ML20Designing Assessments That Support Teaching *and* Learning in Statistics Rochelle Tractenberg, Georgetown University

We will discuss what partici-pants may be contemplating or executing at their institutions and consider how to ensure as-sessments support both teach-ing and learning.

Section on Statistical Learning and Data Mining ML21Data Science vs. Statistics: What’s the Difference? Ronald Fricker, Naval Postgraduate School

We will explore what data science is and whether it is different and distinct from science and the practice of statistics.

Survey Research Methods Section ML22Big Data for the Social Sciences Frauke Kreuter, Joint Program in Survey Methodology

We will discuss the American Association for Public Opinion Research Big Data Task Force.

ADD-ONS Roundtables


Section on Physical and Engineering SciencesTL01SWING into a Successful Statistical CareerStephanie DeHart, DuPont

You will learn how to easily tackle job search challenges with a little soul searching and preparation.

Health Policy Statistics SectionTL02Using Geospatial Methods to Analyze Health Care DataKimberly Proctor, Centers for Medicare and Medicaid Services

We will explore the usage of geospatial statistics to analyze health care data and discuss their advantages, challenges, and potential applications.

Section on Statistical EducationTL03Resampling in the Undergrad-uate CurriculumTim Hesterberg, Google

We will discuss resampling for the introductory and junior-level “mathematical statistics” courses.

Mental Health Statistics SectionTL04How to Get Involved with ASA Activities and NetworkDouglas Gunzler, Case Western Reserve University

We will discuss how to get more involved in ASA activities through playing an active role in an individual ASA section.

Section on Statistical ConsultingTL05What Makes One an Excellent Statistical Consultant?Vaneeta Kaur Grover, The Chemours Company, F.C., L.L.C

We will discuss characteristics that define the difference between being a good consul-tant and an excellent consul-tant and how you can incorpo-rate these characteristics into your practice.

Section on Statistics in EpidemiologyTL06Epidemiological Study Designs for Longitudinal DataJonathan Schildcrout, Vanderbilt University

We will talk about opportunities and considerations for conduct-ing cost-efficient retrospective sub-studies to address longitudi-nal data analysis questions.

Quality and Productivity SectionTL07The Role of Confirmation in Designed ExperimentsWillis A. Jensen, W.L. Gore & Associates

We will discuss the following four questions: 1. Why is confir-mation needed in practice? 2. How do I know the confirma-tion is successful? 3. How many confirmation runs are needed? 4. What if I fail the confirmation?

Biopharmaceutical Section TL08Minimization Randomization: What Are the Controversial Issues?Boguang Zhen, FDA/CBER

We will discuss concerns about the use of minimization.

A.M. ROUNDTABLE DISCUSSIONS Tuesday, August 11, 20157:00 a.m. – 8:15 a.m.


Continental BreakfastHouse-made pastries, seasonal fruit, local Greek yogurt, and granola. Served with a cup of coffee, tea, or juice.

ADD-ONS Roundtables


Biopharmaceutical SectionTL10Challenges and Opportunities in Early Oncology TrialsRong Liu, Bayer Healthcare

Goals of this discussion are to share experiences on 1) design and options for appropriate futility analysis for the expansion cohorts and 2) utility of statistics on biomarker evaluation such as scientific rationale, assay criteria, and trial design and analysis.

TL11Logistics and Implementation of Adaptive Design TrialsEva Miller, InVentiv Health Clinical

It has been more than five years since the release of the FDA Draft Guidance for Industry: Adaptive Design Clinical Trials for Drugs and Biologics. Statisticians will share their experiences implementing these adaptive clinical trials.

Government Statistics SectionTL12Writing for PublicationIngegerd Jansson, Statistics Sweden

We will discuss what it takes to write for publication and in what way style, presentation, and organization of results are important.

Tuesday’s LunchHouse salad, Washington

smoked chicken with potato gnocchi and garlic cream sauce, roasted carrots, rolls and butter,

dessert, and water and iced tea. Chef’s choice of vegetarian

menu is also available.

Health Policy Statistics SectionTL13Developing a Research Insti-tute of Health Care Delivery ScienceMadhuchhanda Mazumdar, Icahn School of Medicine at Mount Sinai

The Mount Sinai Health System recruited a team of quantitative scientists to develop a research institute to aid in building a health care delivery system. We will discuss this development with special emphasis on the adminis-trative structure, stakeholder en-gagement, team development, choice of projects, training/mentoring, and financing.

Mental Health Statistics SectionTL14Closing the Research Practice Gap in Personalized MedicineEric Laber, North Carolina State University

The focus of this roundtable is on ways the statistics communi-ty can work to close the research practice gap in personalized medicine.

Quality and Productivity SectionTL15Considerations, Challenges, and Opportunities in the Use of Outsourced Statisticians for CMC Statistical SupportBenjamin Ahlstrom, Amgen, Inc.

We will discuss considerations, challenges, and opportunities in the use of contract statisti-cians within the quality or manufacturing organizations in a biopharmaceutical or medical device company.

Tuesday—Speaker with Lunch

Business and Economic Statistics SectionTL09Seth Stephens-Davidowitz

Big Data and the Social Sciences

Seth Stephens-Davidowitz will discuss how to use new Internet data sources to gain insights into difficult questions. He will talk about his work estimating how much racism cost Obama, the true size of the gay population, and how economic condi-tions affect child abuse.

P.M. ROUNDTABLE DISCUSSIONS Tuesday, August 11, 2015

12:30 p.m. – 1:50 p.m.


ADD-ONS Roundtables


Section on Bayesian Statistical ScienceTL16Bayes and Big DataSteven Scott, Google

The attributes that made Bayes-ian statistics so successful over the last two decades are still powerful ideas in today’s world of Big Data. The only real chal-lenges are computational. Let discussion lead where it may, but we can cover the consen-sus Monte Carlo algorithm as a default topic.

Section on Risk AnalysisTL17What Can Be the Extent of Contributions of Statistical Sciences to Cyber-Risk and CLOUD Computing Domain in a Security- and Privacy-Con-scious World?Mehmet Sahinoglu, Auburn University

We will discuss the importance of the statistical sciences to security and why applied risk statisticians deal with life sci-ences, pharmacy, etc., but not cybersecurity, cloud computing, and Big Data within the same domain.

Section on Statistical ComputingTL18How Many Simulations Do We Need to Run?Paul Schuette, FDA/CDER

We will discuss limitations of simulations and how advances in computer technology are allowing a large number of simulations to be readily and inexpensively generated.

Section on Statistical ConsultingTL19Managing Analytic Projects: What Works and What Doesn’tChuck Kincaid, Experis Business Analytics

Come to this roundtable to discuss your experiences and training in managing analytic projects. What works? What doesn’t? How is project manage-ment different for Big Data and small data? How can you bring in project management best practices, even if you’re not the project manager?

Section on Statistical EducationTL20Innovative Ways for Teaching Large Statistics CoursesStacey Hancock, University of Califor-nia, Irvine

We will focus on methods for actively engaging students in large classes, as well as tools for managing large classes, pro-viding student feedback, and promoting an inclusive learning environment.

Section on Teaching of Statistics in the Health SciencesTL21Statistical Training for Resi-dents, Fellows, and Staff: How, What, and How Often?William Brady, Roswell Park Cancer Institute

We will discuss statistics in the education of hospital-based resi-dents, fellows, and staff, focus-ing on two issues: appropriate statistical content and the pros and cons of various teaching approaches.

Health Policy Statistics SectionWL12The Future of Public Use DataJohn Czajka, Mathematica Policy Research

We will focus on the tension between federal open data initia-tives and the need to protect data from disclosure.

To view complete roundtable descriptions, visit www.amstat.org/meetings/jsm/2015.

ADD-ONS Roundtables

Follow us on Twitter @AmstatNews Use #JSM2015


Section on Physical and Engineering SciencesWL01Infusing Bayesian Thinking in Collaborative ProjectsAlyson Wilson, North Carolina State University

We will discuss examples of collaborations that have incor-porated Bayesian methods and strategies.

Health Policy Statistics SectionWL02Using Electronic Health Records to Enhance Health Policy ResearchThomas E. Love, Case Western Reserve University at MetroHealth Medical Center

We’ll discuss current advances in electronic health records sys-tems and the suitability of extant statistical methods to answer important questions in reform-ing health service delivery.

Section on Statistical EducationWL03Don’t Forget: Quantitative Statistics Courses Are Very QualitativeLeanna House, Virginia Tech

We will discuss a qualitative-quantitative-qualitative para-digm for developing statistical classes and lessons within.

A.M. ROUNDTABLE DISCUSSIONS Wednesday, August 12, 2015 7:00 a.m. – 8:15 a.m.


Continental BreakfastHouse-made pastries, seasonal

fruit, local Greek yogurt, and granola. Served with a cup of

coffee, tea, or juice.

Mental Health Statistics SectionWL04Applying Item Response The-ory to Develop and Improve Patient-Reported Outcome MeasuresLan Yu, University of Pittsburgh

I will give a brief overview of item response theory method-ology in developing patient-reported outcome measures using the NIH Patient-Reported Outcomes Measurement Infor-mation System Sleep Distur-bance item bank development as an example.

Section on Statistical Learning and Data MiningWL05A Statistician’s Journey to Big DataJames Hess

We will focus on the experiences of statisticians who received their statistical education prior to the Big Data phenomenon, spent most of their careers as an applied statistician in a non-Big Data environment, and then became involved with a Big Data project.

Survey Research Methods SectionWL06Record Linkage: Introductory OverviewWilliam E. Winkler, U.S. Census Bureau

I will provide background on ap-plications and methods devel-oped for record linkage.

Section on Teaching of Statistics in the Health SciencesWL07Teaching Statistics in a Hybrid or Online FormatKirk Anderson, Grand Valley State University

I will summarize my experience converting the traditional course to hybrid and online, creating screencasts and techniques for online discussions, and perform-ing a pilot study comparing traditional to online using the Goals and Outcomes Associated with Learning Statistics test.To view complete roundtable

descriptions, visit www.amstat.org/meetings/jsm/2015

ADD-ONS Roundtables


Biopharmaceutical SectionWL09Social Media and Drug TrialsDarcy Hille, Merck & Company Inc.

We will discuss how social media such as Facebook may put blind-ing in jeopardy.

WL10Practical Bayesian Approaches, Applications, and Software/Packages for Different Types of Clinical Trial ProjectsAijun Gao, inVentiv Health Clinical

We will share experiences and challenges faced in Bayesian proj-ects, including prior elicitations, enrollment predictions, and study success simulations.

Government Statistics SectionWL11Total Survey Error: Implications for Big DataPaul Biemer, RTI International and The University of North Carolina at Chapel Hill

We will discuss the total survey error paradigm and how it can be extended to the analysis of Big Data to create a “total error” framework for Big Data.

Mental Health Statistics SectionWL13Statistical and Study Design Issues in Clinical and Transla-tional ResearchMohammad Rahbar, Center for Clinical & Translational Sciences-UTHealth

We will discuss areas statisticians might contribute to improve the quality of mental health research, including controlling for poten-tial confounding, effect modifica-tion, and multicollinearity.

P.M. ROUNDTABLE DISCUSSIONS Wednesday, August 12, 201512:30 p.m. – 1:50 p.m.


Wednesday—Speaker with Lunch

Section on Health Policy StatisticsWL08Andrea J. Cook, Group Health Research Institute

The Role of Health Care Data Analytics in Health Policy Decision Making

We will discuss the increasing political interest in harnessing the vast amount of health information maintained by health care organizations and insurers for research purposes.

Wednesday’s LunchHouse salad, Washington roast chicken with bleu cheese mashed potatoes, green bean salad with red wine demi-glace, rolls and butter, dessert, and water and iced tea. Chef’s choice of vegetarian menu is also available.

Quality and Productivity SectionWL14Quality Excellence in Design and Manufacturing: A Roadmap to Customer DelightDaksha Chokshi, Aerojet Rocketdyne

We will explore important linkag-es, protocols, and lessons learned from successful manufacturing and Six Sigma design applications.

WL15Statistical Engineering: Talking the Language of ImpactChristine Anderson-Cook, Los Alamos National Laboratory

We will discuss strategies for increasing the impact of statisti-cal methods on the problems nonstatisticians tackle.

Section on Bayesian Statistical ScienceWL16Bayesian Drug/Device DevelopmentScott M. Berry, Berry Consultants

We will discuss Bayesian drug and device development, including Bayesian analyses, adaptive trials, modeling, and decision analyses.

Section on Statistical ComputingWL17What Are the Statistical Challenges of Big Data Science?Kaiser Fung, New York University

We will discuss what the challeng-es are in the era of Big Data/data science and where opportunities for statistical research lie.

Section on Statistical ConsultingWL18Creating Research Infrastructure in Developing CountriesEric A. Vance, LISA, Virginia Tech

Join this discussion about how statisticians can enable and ac-celerate research in developing countries and how you can become involved in these ongoing efforts.

Section on Statistical EducationWL19Designing Undergraduate Pro-grams in Business Analytics and Data ScienceAmy L. Phelps, Duquesne University

This roundtable invites you to share ideas and concerns about developing an academic program in business analytics or data science.

ADD-ONS Roundtables


PROFESSIONAL

DEVELOPMENT

Professional Development (PD) is a fundamental component of the professional life of statisticians, and it increases the value of their contributions to society. PD is the process of improving and broadening the knowledge, skill, and personal qualities needed to be successful. To complement the ASA’s Continuing Education program, the Personal Skills Development program of courses, workshops, and other training is offered under the ASA Profes-sional Development umbrella.

Continuing Education offer-ings consist of courses and Computer Technology Work-shops in statistical methodol-ogy and practice. Courses are offered in two-day, one-day, and half-day formats Saturday through Tuesday. Computer Technology Workshops are of-fered in two-hour intervals on Wednesday.

Personal Skills Development consists of courses, workshops, and panel discussions on top-ics such as effective communi-cation, collaboration, leader-ship, and influence.

RegistrationTo participate in Professional Development offerings, you must register for JSM. Lower rates are given to those adding courses and workshops to their registration from April 30– July 1. Registration depends on seat availability and is handled on a first-come, first-served ba-sis. If seats are available after July 23, onsite registration will be offered.

Course Participation CertificatesThe ASA provides course participation certificates upon request to those who attend the entire course (certificates are not available for Com-puter Technology Workshops). Complete a request form at the end of the course, and your certificate will be mailed to you within one month.

Excellence-in-CE AwardCourses that exceed expecta-tions in quality, content, and presentation are recognized with the Excellence-in-CE award from the Advisory Committee on Continuing Education

DiscountPStat®, GStat, and A.Stat. ac-credited members in good standing with the ASA or SSC will receive a 20% discount on Professional Development courses and workshops.

Professional Development

How To RegisterRegister early

(May 29 for discounted rates)

using the form in the back of this guide, or register

online at www.amstat.org/ jsmregistration.


SATURDAY AUGUST 8CE_01C (two-day course)8:30 a.m. – 5:00 p.m.

Missing DataInstructors(s): Roderick Little and Trivellore Raghunathan This short course will discuss methods for the statistical analysis of data sets with miss-ing values. Topics will include the definition of missing data; assumptions about mecha-nisms, including missing at random; pros and cons of simple methods such as complete-case analysis, naïve imputation, etc.; weighting methods; multiple imputation; maximum likelihood and Bayesian inference with missing data; computational techniques, including EM algo-rithm and extensions and Gibbs sampler; software for handling missing data; missing data in common statistical applications, including regression, repeated-measures analysis, and clinical trials; and selection and pattern-mixture models for nonran-dom nonresponse. The course requires knowledge of standard statistical models such as the multivariate normal, multiple lin-ear regression, and contingency tables, as well as matrix algebra, calculus, and basic maximum likelihood for common distri-butions. Recommended text: Little, R.J., and Rubin, D.B. (2002), Statistical Analysis with Missing Data, 2nd edition, Wiley.

FEES: M - $660 ($895) NM - $805 ($1,090) S - $380 ($515)

CE_02C8:30 a.m. – 5:00 p.m.

Applied Longitudinal AnalysisInstructors(s): Garrett Fitzmaurice The goal of this course is to provide a broad introduction to statistical methods for analyz-ing longitudinal data. We will highlight the main distinctions between marginal models and generalized linear mixed models and discuss the types of scientific questions addressed by each. Excellence-in-CE Award winner.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_03C8:30 a.m. – 5:00 p.m.

The Art and Science of Data Visualization Using RInstructors(s): Abel Rodriguez The aim of this short course is to introduce participants to concepts such as pre-attentive processing and the hierarchy of visual cues and color percep-tion to create more effective visualizations.FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_04C8:30 a.m. – 5:00 p.m.

Statistical Issues in Online ExperimentationInstructors(s): Roger Longbotham and Alex Deng Large websites run tens of thousands of statistically valid experiments every year to test changes to their sites. Medium-sized and smaller sites are also learning the importance of testing changes to their sites. We will discuss the statistical and technical issues specific to run-ning experiments in this space and present some open issues for researchers.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_05C8:30 a.m. – 5:00 p.m.

Statistical Analysis of Financial Data with RInstructors(s): David S. Matteson and David Ruppert This course will introduce sta-tistical methods for the analysis of financial data. Examples and case studies will illustrate the application of these methods using the freely available soft-ware language R and numerous contributed packages.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

Continuing Education Courses

M=MEMBERNM=NONMEMBERS=STUDENT(Price in parentheses is after July 1.)

To view complete course descriptions, visit www.amstat.org/meetings/jsm/2015.

ADD-ONS Continuing Education


SUNDAY AUGUST 9CE_06C8:00 a.m. – 12:00 p.m.

Integrative Analytics of Dif-ferent Types of Genetic and Genomic Data Using Causal Mediation ModelingCosponsor: Section on Statistics in Genomics and GeneticsInstructors(s): Xihong Lin and Yen-Tsung Huang This course provides an intro-duction to the causal mediation model and an overview of re-cent developments in integra-tive genomic analytics using this framework.

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)

CE_07C8:30 a.m. – 5:00 p.m.

Advanced RInstructors(s): Hadley Wickham This class will be a good fit for persons who have some experi-ence programming in R already. We’ll start by reinforcing the foundations of your R knowl-edge, and then go on to cover the three main paradigms of R programming: functional programming, object-oriented programming, and metapro-gramming.

FEES: M - $400 ($535) NM - $525 ($700) S - $250 ($330)

CE_08C8:30 a.m. – 5:00 p.m.

Adaptive Methods for Modern Clinical TrialsCosponsor: Biopharmaceutical SectionInstructors(s): Byron Jones, Frank Bretz, and Guosheng YinThis course will introduce various adaptive methods for phase I to phase III clinical trials. Accordingly, different types of adaptive designs will be introduced and illustrated with case studies.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_09C8:30 a.m. – 5:00 p.m.

Analysis of Categorical DataCosponsor: Biometrics SectionInstructors(s): Christopher Bilder and Thomas Loughin In this course, participants will learn how to analyze the most common types of categorical data. We will examine how to es-timate and interpret appropriate models, as well as model selec-tion and evaluation methods.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_10C8:30 a.m. – 5:00 p.m.

Practical Bayesian ComputationCosponsor: Section for Statisti-cal Programmers and AnalystsInstructors(s): Fang Chen This course reviews the basic concepts of Bayesian inference and focuses on the practical use of Bayesian computational methods.FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_11C1:00 p.m. – 5:00 p.m.

Functional Data Analysis—Methods and ComputingInstructors(s): Giles Hooker This course will introduce par-ticipants to the statistical meth-ods of functional data analysis modeling and computational tools to carry them out.

FEES: M - $260 ($345) NM - $335 ($440) S - $165 ($215)





MONDAY AUGUST 10CE_12C8:00 a.m. – 12:00 p.m.

Concepts and Implementation of Bayesian Adaptive Phase I Oncology TrialsCosponsor: Biopharmaceutical SectionInstructors(s): Satrajit Roychoudhury and Beat Neuenschwander We present a comprehensive and principled statistical approach to Phase I trials in oncology. The implementation is Bayesian, with the following main parts: a parsimonious model for the dose-toxicity relationship, the possibility to incorporate contex-tual information via priors, and safety-centric metrics that inform dose adaptations under appropri-ate overdose control.

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)

CE_13C8:30 a.m. – 5:00 p.m.

Joint Modeling of Longitudinal and Survival DataCosponsor: Section on Statistics in EpidemiologyInstructors(s): Joseph Ibrahim We will examine in-depth statisti-cal methods for joint modeling of longitudinal and survival data. Both frequentist and Bayesian ap-proaches will be examined.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_14C8:30 a.m. – 5:00 p.m.

Analysis of Clinical Trials: Theory and ApplicationsCosponsor: Biopharmaceutical SectionInstructors(s): Alex Dmitrienko, Devan Mehrotra, and Jeff MacaThis course covers six topics that statisticians and research scientists conducting clinical research com-monly face: analysis of stratified trials, analysis of longitudinal data with dropouts and potential outli-ers, analysis of time-to-event data (with emphasis on small trials), crossover trials, multiple compari-sons, and interim decisionmaking and adaptive designs. Excellence-in-CE Award winner

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_15C8:30 a.m. – 5:00 p.m.

Classification and Regression Trees and ForestsInstructors(s): Wei-Yin Loh This course begins with examples to compare tree and traditional models. Then it reviews the major algorithms, including AID, CART, C4.5, CHAID, CRUISE, CTREE, GUIDE, M5, MOB, and QUEST.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_16C8:30 a.m. – 5:00 p.m.

Guidelines for Using State-of-the-Art Methods to Estimate Propensity Score and Inverse Probability of Treatment Weights When Drawing Causal InferencesInstructors(s): Lane Burgette and Daniel F. McCaffrey This course will provide an introduction to causal modeling using the potential outcomes

framework and propensity scores and weighting to estimate causal effects from observational data.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_17C8:30 a.m. – 5:00 p.m.

Applied Text AnalyticsInstructors(s): James Wisnowski This short course will provide an overview of easily implemented methods to find previously unknown relationships from a collection of text documents. Data mining techniques will be explored with text from sources such as tweets, voice-to-text translations, email, survey com-ments, incident reports, web-sites, and more.FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_18C1:00 p.m. – 5:00 p.m.

Bayesian Structural Time SeriesCosponsor: Section on Statistical ComputingInstructors(s): Steven Scott This course introduces the basic ideas of structural time series and the fundamental tools for computing with them (mainly the Kalman filter).

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)


To view complete course descriptions, visit www. amstat.org/meetings/jsm/2015



TUESDAY AUGUST 11CE_19C8:00 a.m. – 12:00 p.m.

Quantile Regression in PracticeInstructors(s): Yonggang Yao This course provides an overview of the theoretical concepts of quantile regression and empha-sizes its practical benefits as both a regression method and distribu-tion estimation method.

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)

CE_20C8:00 a.m. – 12:00 p.m.

Dynamic Treatment Regimes, Sequentially Randomized Trials, and Causal InferenceCosponsor: Biometrics SectionInstructors(s): Erica Moodie and Bibhas Chakraborty This half-day course will provide a comprehensive description of evidence-based dynamic treat-ment regimes.

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)

CE_21C8:30 a.m. – 5:00 p.m.

Introduction to Statistical Learning for Unsupervised ProblemsCosponsor: Section on Statisti-cal Learning and Data MiningInstructors(s): Ali Shojaie This course will provide a practi-cal introduction to statistical learning methods for unsuper-vised problems. We will discuss three classes of methods: cluster analysis, dimension reduction, and graphical modeling.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_22C8:30 a.m. – 5:00 p.m.

Managing Statistical Consult-ing Projects: Lessons from the FrontCosponsor: Section on Statisti-cal ConsultingInstructors(s): Michael Greene and David Steier Using a framework for manag-ing analytics projects developed from our consulting experience, we aim to offer practical guid-ance on the process of evaluat-ing, initiating, and delivering statistical consulting projects.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_23C8:30 a.m. – 5:00 p.m.

Software Engineering for StatisticiansCosponsor: Section on Bayesian Statistical ScienceInstructors(s): Murray Stokely This course introduces a num-ber of best practices in writing statistical software taught to computer scientists, but which are seldom part of a statistics degree. Revision control tools, unit testing, code modularity, structure, readability, and the basics of computer architecture and performance will be covered.FEES: M - $400 ($535) NM - $525 ($700) S - $250 ($330)

CE_24C8:30 a.m. – 5:00 p.m.

Statistical Methods for Rank-ing DataInstructors(s): Mayer Alvo and Philip Yu In this course, participants will learn how ranking data can be analyzed for drawing inferences and how it can be modeled.

Methods of handling missing data, incomplete rankings, and ties will be introduced.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_25C1:00 p.m. – 5:00 p.m.

Introduction to Structural Equation Modeling and Its Ap-plicationsInstructors(s): Yiu-Fai Yung This course introduces statisti-cians to the general method-ology of structural equation modeling and its applications. The course reviews traditional topics, including path analysis, confirmatory factor analysis, measurement error models, and linear structural relations with latent variables.

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)

CE_26C1:00 p.m. – 5:00 p.m.

Meta-Analysis: Combining the Results of Multiple StudiesCosponsor: Health Policy Statis-tics SectionInstructors(s): Christopher Schmid and Ingram Olkin In this course, we introduce the major principles and tech-niques of statistical analysis of meta-analytic data. Examples of published meta-analyses in medicine and the social sciences will be used to illustrate various methods.

FEES: M - $240 ($325) NM - $315 ($420) S - $145 ($195)




WEDNESDAY AUGUST 12CE_27T8:00 a.m. – 9:45 a.m.

Introducing the SAS BCHOICE Procedure for Bayesian Choice ModelsInstructor(s): Amy ShiThis tutorial introduces the BCHOICE procedure in SAS/STAT 14.1, which is designed to perform Bayesian analysis for discrete choice models. It illustrates important features of the BCHOICE procedure and shows how to use this proce-dure for estimation, inference, and prediction.FEES: $55 ($70)

CE_28T8:00 a.m. – 9:45 a.m.

Introduction to Data Mining with CART Classification and Regression TreesInstructor(s): Kaitlin Onthank and Ling ChenThis tutorial is intended for the applied statistician wanting to understand and apply the CART classification and regression trees methodology. The em-phasis will be on practical data analysis and data mining involv-ing classification and regression.

FEES: $55 ($70)

CE_29C8:00 a.m. – 9:45 a.m.

Predicting the Future Course of a TrialInstructor(s): Cyrus MehtaCytel’s Cyrus Mehta explores new ways of predicting a trial’s future course based on interim data analysis and simulating the time path of a trial.

FEES: $55 ($70)

CE_30T8:00 a.m. – 9:45 a.m.

Enter a Data Science Competi-tion. You Don’t Need to Be an Expert!Instructor(s): Kaitlin Onthank and Ling ChenHow would you like to enter a data science competition like Kaggle or the KDD Cup? In this presentation, specifically designed for statisticians, we will show how you can quickly and easily create a model to achieve a top-performing result.

FEES: $55 ($70)

CE_31T10:00 a.m. – 11:45 a.m.

Analyzing Item Responses with the IRT Procedure: An Introduc-tion with ApplicationsInstructor(s): Xinming AnThis workshop shows how to use the newly developed IRT procedure (SAS/STAT 13.1 or later) to calibrate items, interpret item characteristics, and score subjects. It also shows how the applications of IRT models can help develop better scales and improve subject scoring.

FEES: $55 ($70)

CE_32T10:00 a.m. – 11:45 a.m.

Applied Data Mining Analysis: A Step-by-Step Introduction Using Real-World Data SetsInstructor(s): Kaitlin Onthank and Ling ChenWe will show how you can quickly and easily create data mining models. This tutorial follows a step-by-step approach to introduce advanced automa-tion technology, including CART, MARS, TreeNet Gradient Boost-ing, Random Forests, and the latest multi-tree boosting and bagging methodologies.

FEES: $55 ($70)

CE_33T 10:00 a.m. – 11:45 a.m.

Modern Dose Escalation Trial Designs for Oncology in EastInstructor(s): Lingyun LiuIn this tutorial, you will learn to evaluate and compare operating characteristics of designs under different dose-toxicity profile assumptions, find the best dose for the next cohort of patients, communicate critical informa-tion to clinicians, and improve your screening and selection of active agents.

FEES: $55 ($70)

(Price in parentheses is after July 1.)

Computer Technology Workshops

ADD-ONS Computer Technology Workshops


CE_34T1:00 p.m. – 2:45 p.m.

Practical Finite Mixture Model-ing with SASInstructor(s): Dave KesslerThis workshop introduces finite mixture models and the SAS/STAT procedure for fitting them, PROC FMM. You will learn the basic form of the finite mixture model and how to use PROC FMM to fit zero-inflated Poisson models, hurdle models, and overdispersion models for multi-nomial data.FEES: $55 ($70)

CE_35T1:00 p.m. – 2:45 p.m.

Evolution of Classification: From Logistic Regression and Decision Trees to Bagging/Boosting and Netlift ModelingInstructor(s): Kaitlin Onthank and Ling ChenThis presentation will cover re-cent improvements to conven-tional decision tree and logistic regression technology via two case study examples: one in direct marketing and one from biomedical data analysis. FEES: $55 ($70)

CE_36T1:00 p.m. – 2:45 p.m.

Power and Sample-Size Analy-sis in StataInstructor(s): Yulia MarchenkoWe will demonstrate a num-ber of examples of power and sample-size analysis for statis-tical methods such as t-test, McNemar’s test, and ANOVA. We also will demonstrate how to compute power by simula-tion and how to take advantage of Stata’s power command’s automatic table and graph creation from the results of your simulation.FEES: $55 ($70)

CE_37T3:00 p.m. – 4:45 p.m.

Interactive Model Building in JMP ProInstructor(s): Mia Stephens, Clay Barker, and Michael CrottyIn this workshop, we will use case studies to illustrate the model-building process in JMP. Background theoretical and technical details behind the modeling techniques are pro-vided in addition to examples of their use in JMP.FEES: $55 ($70)

CE_38T3:00 p.m. – 4:45 p.m.

Improve Your Regression with Modern Regression Analysis Techniques: Linear, Logistic, Nonlinear, Regularized, GPS, LARS, LASSO, Elastic Net, MARS, TreeNet Gradient Boosting, Random ForestsInstructor(s): Kaitlin Onthank and Ling ChenThis presentation will show you how modern regression analysis techniques can take your regres-sion model to the next level and expertly handle your modeling woes. Using real-world data sets, we will demonstrate advances in nonlinear, regularized linear, and logistic regression.FEES: $55 ($70)

CE_39T3:00 p.m. – 4:45 p.m.

Multilevel and Mixed Models in StataInstructor(s): Bill RisingThis workshop covers the use of Stata to fit multilevel (mixed) models, models that con-tain multiple levels of nested random effects. The focus will be primarily on linear (Gaussian) models, but binary and count re-sponses will also be considered.FEES: $55 ($70)

PROF

ESSIONAL

DEVELOPMEN

T(Price in parentheses is

after July 1.)

ADD-ONS Computer Technology Workshops


CE_40P (spans two days)

Part I: Saturday, August 88:00 a.m. – 12:00 p.m.

Part II: Sunday, August 98:00 a.m. – 12:00 p.m.

Nontechnical Skills to Become a More Effective CollaboratorInstructor(s): Eric Vance, Heather Smith, and Doug ZahnThis course will help you learn how to structure and conduct effective, efficient meetings with clients and colleagues and guide you through key com-munication skills.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_41P

Saturday, August 88:30 a.m. – 5:00 p.m.

Effective Presentations for Statisticians: Success = (PD)2Instructor(s): Jennifer van Mullekom and Stephanie P. DeHartThis short course will teach you how to employ different meth-ods and tools in the phases of the Success = (PD)2 framework. The material is geared toward scientific presentations and based on the works of Garr Reynolds and Michael Alley, among others.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

Professional Skills Development

CE_42P (spans two days)

Part I: Saturday, August 81:00 p.m. – 6:30 p.m.

Part II: Sunday, August 98:00 a.m. – 12:00 p.m.

Preparing Statisticians for Leadership: How to See the Big Picture and Have More InfluenceInstructor(s): Bonnie LaFleur and Jim HessThis course provides an under-standing of leadership and how statisticians can improve and demonstrate leadership to affect their organizations.

FEES: M - $380 ($515) NM - $505 ($680) S - $230 ($310)

CE_43P

Sunday, August 92:00 p.m. – 4:00 p.m.

Career Development: Discov-ering Secrets of a Successful Statistical Career—Profes-sional Development Personal Skills DevelopmentPanelists: Deepak Agarwal, Daksha Chokshi, Natalie Cheung Hall, Kent Koprowicz, and Me-gan PriceThe goal of this panel discus-sion is to help address practical questions and thereby help you with your career planning and development.

Free Event


To view complete course descriptions, visit www.amstat.org/meetings/jsm/2015.

ADD-ONS Professional Skills Development



99

Pine St

Howell St

W Republican St

W Harrison St

John St

W Thomas St

Denny Way

John St

Republican St

Thomas St

S Jackson St

S Main St

S Washington St

Olive Way

Yesler Way

Spring St

Columbia St

Seattle U

Harrison St

Cherry St

Washington State Ferries

SEATTLECENTER

Space Needle

City Hall Park

Kobe

Regrade Park

Tilikum Place

McGrawSquare

WestlakePark

Free

way

Par

k

Union St

Union StPike St

University St

Seneca St

Madison St

Marion St

Columbia St

Je�erson St

James St

Cherry St

Alder St

James St

Madison St

Stew

art S

t

Virginia

St

Lenora

St

Blanch

ard St

Batte

ry St

Wall

St

Vine S

tCedar

St

Clay St

Broad

St

Minor Ave

Terry Ave

9th Ave

8th Ave

7th Ave

6th Ave

3rd Ave

2nd Ave

1st Ave

Alaskan Way

Elliott Ave

Broadway Ave

Broadway Ave

13th Ave

10th Ave

12th Ave

M

inor Ave

Boren Ave

Terry Ave

9th Ave

8th Ave

7th Ave

6th Ave

Minor Ave N

Fairview Ave N

Boren Ave N

Terry Ave N

Westlake Ave N

9th Ave N

8th Ave N

Dexter Ave N

Aurora Ave N

6th Ave N

Taylor Ave N

5th Ave N

1st Ave N

2nd Ave N

Queen Anne

Ave N

Bore

n-Pi

ke-

Pine

Par

k

Bellevue Ave

Marion St

Post O�ce

500 ft200 m

Convention

Center

Spring St

Summ

it Ave

Pike Place Market

4th Ave

5th Ave

Paci�c Science Center

Experience Music Project

Harvard Ave

Boylston Ave

University St.

E. Union St.

E. Pike St.

E. Pine St.

PioneerSquare

11th Ave

2nd Ave

King County Bus Route 2


Westlake Station

University Street Station

Pioneer Square Station

Seattle Aquarium

Seattle Great Wheel

Seattle Art Museum

Gum

Wall

Bell S

t

Skyview Observatory

Original Starbucks

Olympic Sculpture Park

E

F

GH

I

DB

C

AJ

HOUSING General Housing Information

To Student Housing


General Housing Information

All hotel rooms are subject to applicable taxes, currently 15.6% tax and $2.00 STIA fee per night/room (subject to change).

DEADLINE IS JULY 15, 2015

A limited number of rooms and suites will be available August 8-14, 2015. Room rate plus standard meal plan purchase is required.

Single Occupancy: $70.97 per night + $45 registration fee

Double Accommodation (per person): $73.72 per night + $45 registration fee

Quad Accommodation (per person): $59.72 per + $45 registration fee

Prices include limited breakfast and dinner.

Bellarmine Hall, 1111 E. Columbia Street (bus route 2, 3, or 4)

Campion Tower, 914 E. Jefferson Street (bus route 3 or 4)

Chardin Hall, 1020 E. Jefferson Street (bus route 3 or 4)

99

Pine St

Howell St

W Republican St

W Harrison St

John St

W Thomas St

Denny Way

John St

Republican St

Thomas St

S Jackson St

S Main St

S Washington St

Olive Way

Yesler Way

Spring St

Columbia St

Seattle U

Harrison St

Cherry St

Washington State Ferries

SEATTLECENTER

Space Needle

City Hall Park

Kobe

Regrade Park

Tilikum Place

McGrawSquare

WestlakePark

Free

way

Par

k

Union St

Union StPike St

University St

Seneca St

Madison St

Marion St

Columbia St

Je�erson St

James St

Cherry St

Alder St

James St

Madison St

Stew

art S

t

Virginia

St

Lenora

St

Blanch

ard St

Batte

ry St

Wall

St

Vine S

tCedar

St

Clay St

Broad

St

Minor Ave

Terry Ave

9th Ave

8th Ave

7th Ave

6th Ave

3rd Ave

2nd Ave

1st Ave

Alaskan Way

Elliott Ave

Broadway A

veBroadw

ay Ave

13th Ave

10th Ave

12th Ave

M

inor Ave

Boren Ave

Terry Ave

9th Ave

8th Ave

7th Ave

6th Ave

Minor A

ve N

Fairview A

ve N

Boren Ave N

Terry Ave N

Westlake A

ve N

9th Ave N

8th Ave N

Dexter A

ve N

Aurora A

ve N

6th Ave N

Taylor Ave N

5th Ave N

1st Ave N

2nd Ave N

Queen A

nneA

ve N

Bore

n-Pi

ke-

Pine

Par

k

Bellevue Ave

Marion St

Post O�

ce

500 ft200 m

Convention

Center

Spring St

Summ

it Ave

Pike Place Market

4th Ave

5th Ave

Paci�c Science Center

Experience Music Project

Harvard Ave

Boylston Ave

University St.

E. Union St.

E. Pike St.

E. Pine St.

PioneerSquare

11th Ave

2nd Ave



Westlake Station

University Street Station

Pioneer Square Station

Seattle Aquarium

Seattle Great Wheel

Seattle Art Museum

Gum

Wall

Bell S

t

Skyview Observatory

Original Starbucks

Olympic Sculpture Park

E

F

GH

I

DB

C

AJ

Seattle U Economy Housing

Reservations must be made with Seattle University directly.

JJ

Rates Single/Double Triple/Quad U.S.

Government

A Sheraton Seattle Hotel (HQ) $205 $225/$250 $190

B Grand Hyatt Seattle $206 $231/$256 $190

C Hyatt Olive 8 Seattle $206 $231/$256 $190

D Homewood Suites Seattle $196 N/A N/A

E Motif Seattle $154 $174/$194 N/A

F Hilton Seattle Hotel $201 $221/$241 $190

G Crown Plaza Hotel Seattle $184 $204/$224 N/A

H Fairmont Olympic Hotel $209 $239/$269 $190

I Renaissance Seattle Hotel $196 $223 $190

HOUSING General Housing Information

Hotels are in order by proximity to convention center.A valid government I.D. is required at check-in for all government-rate rooms.


Registration Information

PaymentPayment via credit card, check, or money order must accom-pany registration. We are unable to accept purchase orders. Make your check or money order payable to American Statistical Association in U.S. funds drawn on a U.S. bank. The ASA Federal ID is 53-0204661.

Registration ConfirmationsRegistration confirmations will be emailed to all prereg-istered attendees as soon as the registration and payment are processed. Confirmations contain a registration number and the email address with which you registered. If you wish to add on to your registration at a later time through the online registration system, you will need to provide this number and the same email address. Be sure to provide a valid email address and set your spam-blocking filters to allow emails sent from addresses containing “@amstat.org.”

Make sure to read the Meetings Conduct

Policy at www.amstat.org/jsmregistration.

THREE WAYS TO REGISTEROnline www.amstat.org/jsmregistration

Mail JSM Registration, 732 North Washington St., Alexandria, VA 22314-1943

Fax (703) 684-2037 (Please fax both sides of form.)

What Can I Do with My Registration? Conference Registrant Guest

Program Book and Conference Bag x

Technical Sessions x

Exhibit Hall x x

Sunday Opening Mixer x x

Tuesday Night Dance Party & Lounge x x

JSM Proceedings (available online in early 2016) x

Professional Development Offerings $$

Roundtables & Speakers with Lunch $$

Career Service $$

PStat®, GStat, and A.Stat. Dis-counts on Professional Develop-ment OfferingsAccredited members in good standing with the ASA or SSC will receive a 20% discount on Professional Development (PD) courses and workshops. To take advantage of this discount when registering by fax or mail, check the appropriate box in the PD section indicating your accreditation and calculate your discount where asked. To take advantage of this discount when registering online, select the registration level that con-tains “accredited.” Your discount will be calculated automatically.

Cancellations/Substitutions/RefundsAll cancellations and substitu-tions must be submitted in writ-ing. Email: [email protected]; Fax: (703) 684-2037; Mail: JSM Regis-tration, ASA, 732 N. Washington St., Alexandria, VA 22314-1943

Registration fees for participants (speakers/panelists/discus-sants/chairs/organizers/poster presenters) are nonrefundable. Substitutions may be made at no penalty.

For general registrations and add-on items:

Cancellations received by 5:00 p.m. EDT on June 1, 2015, incur a cancellation fee of 20% of each item cancelled.

Cancellations received by 5:00 p.m. EDT on July 23, 2015, incur a cancellation fee of 40% of each item cancelled.

Cancellations received after 5:00 p.m. EDT on July 23, 2015, will not be refunded.

Register by fax: (703) 684-2037 or mail: 732 N. Washington St., Alexandria, VA 22314-1943. Registrations are not accepted by telephone or email.

JSM 2015 REGISTRATION FORM

ASA ID# (if known): ___________________________________________________________________________________________________

First Name_________________________________ Middle Initial_____ Last/Family Name__________________________________________

Badge Name (if different from First Name)_________________________________________________________________________________

Company/Organization________________________________________________________________________________________________

Address_____________________________________________________________________________________________________________

City________________________________________________________ State/Province__________ ZIP/Postal Code___________________

Country (Non-U.S.)___________________________________________________________________________________________________

Phone______________________________________ Email__________________________________________________________________

In case of emergency, list the name and phone number of the person we should contact (remains confidential).

Emergency Contact’s Name___________________________________________________________ Phone__________________________________

Membership(s): (check all that apply)qASA q ENAR q ICSA q IISA q IMS q ISBA q ISI qKISS qRSS q SSC qWNAR

Check all that apply:q I am a participant (speaker/panelist/discussant/chair/organizer/poster presenter).q I am a first-time JSM attendee.q I have a disability that requires special services (attach a statement of your needs). We cannot guarantee an accommodation that is not made during early registration or regular registration.q Update my ASA customer information with this contact information.q Exclude my information from contact lists managed by the ASA for use by outside entities, including offers for onsite receptions or activities and booth giveaways.q Exclude my name from the conference attendee roster that will appear on the conference website.

MEETING REGISTRATION FEES All fees are in U.S. dollars. (mark the appropriate box)

Early April 30–June 1

Regular June 2–30

Late July 1–23

Member ♦ q $420 q $465 q $510

New ASA Member ♦♦ q $550 q $595 q $640

Nonmember q $640 q $710 q $780

Student Member ♦ q $100 q $100 q $100

K–12 Teacher q $ 80 q $ 80 q $ 80

Senior Member ♦ q $180 q $180 q $180

MEETING REGISTRATION FEE $________

ADD-ONS (see reverse side)

TOTAL Professional Development Cost $________

TOTAL Roundtables/Speaker Cost $________

TOTAL Guest Cost $________

TOTAL Career Service Cost $________

TOTAL REGISTRATION + ADD-ONS $________

CREDIT CARD OR CHECK PAYMENT INFORMATION (NOTE: We are unable to accept purchase orders as payment.)q Check or money order enclosed payable to American Statistical Association (U.S. funds on a U.S. Bank)Credit Card q Amex q Discover q MasterCard q VISA

Card Number_____________________________________________________ Expiration Date____ /____ Security Code____________________

Name of Cardholder_____________________________________________________________________________________________________

Cardholder’s Signature____________________________________________________________________________________________________

See Page 30 for cancellation policy.

REGISTRATION INFORMATION

♦ Must have an active membership in one of the sponsoring societies and indicate it on your registration where asked ♦♦ Includes discounted first-year ASA dues; not available to renewing or recently lapsed members

SOCIAL EVENTSFor STUDENT MEMBER REGISTRANTS ONLY:q YES! I will attend the Student Mixer on Monday, August 10, at 6:00 p.m.

For PSTAT®/GSTAT:q YES! I will attend the ASA PStat®/GStat Reception on Wednesday, August 12, at 6:00 p.m.

P.M. ROUNDTABLES$45 each; includes meal. Indicate your first and second choices by marking 1 and 2.

SUNDAY August 9

MONDAY August 10

TUESDAY August 11

WEDNESDAY August 12

SL01___ ML10___ TL09____ WL08____

ML11___ TL10____ WL09____

ML12____ TL11____ WL10____

ML13____ TL12____ WL11____

ML14____ TL13____ WL13____

ML15____ TL14____ WL14____

ML16____ TL15____ WL15____

ML17____ TL16____ WL16____

ML18____ TL17____ WL17____

ML19____ TL18____ WL18____

ML20____ TL19____ WL19____

ML21____ TL20____

ML22____ TL21____

WL12____

MEAL CHOICE: q Regular q Vegetarian

TOTAL ROUNDTABLES $_________

GUEST BADGESEnter names below. Fee includes Sunday Opening Mixer, Tuesday Night Dance Party and Lounge, and entrance into exhibit hall. Session attendance is not included. $50 per guest.

I am PStat®, GStat, or A.Stat. accredited by: q ASA q SSCAccredited members of the ASA or the SSC (PStat®, GStat, A.Stat.) enjoy a 20% discount on Professional Development offerings.

PROFESSIONAL DEVELOPMENT SUBTOTAL $_________

20% PStat®, GStat, or A.Stat. discount $_________

TOTAL PROFESSIONAL DEVELOPMENT COST $_________

CAREER SERVICEApplicant Options —Includes online access to job postings. To interview onsite, you must register for JSM. Prices are for April 30-July 1/July 2-August 12

ASA Member Nonmember

Student q $65/90 q $95/125

Nonstudent q $125/150 q $175/200

TOTAL CAREER SERVICE COST $_______

_________________________________________________ Guest Name

_________________________________________________ Guest Name

_________________________________________________ Guest Name TOTAL GUEST COST $_________

Member NonMember Student

CONTINUING EDUCATION COURSES Saturday, August 8

CE_01C q $660/895 q $805/1090 q $380/515

CE_02C q $380/515 q $505/680 q $230/310

CE_03C q $380/515 q $505/680 q $230/310

CE_04C q $380/515 q $505/680 q $230/310

CE_05C q $380/515 q $505/680 q $230/310

Sunday, August 9

CE_06C q $240/325 q $315/420 q $145/195

CE_07C q $400/535 q $525/700 q $250/330

CE_08C q $380/515 q $505/680 q $230/310

CE_09C q $380/515 q $505/680 q $230/310

CE_10C q $380/515 q $505/680 q $230/310

CE_11C q $260/345 q $335/440 q $165/215

Monday, August 10

CE_12C q $240/325 q $315/420 q $145/195

CE_13C q $380/515 q $505/680 q $230/310

CE_14C q $380/515 q $505/680 q $230/310

CE_15C q $380/515 q $505/680 q $230/310

CE_16C q $380/515 q $505/680 q $230/310

CE_17C q $380/515 q $505/680 q $230/310

CE_18C q $240/325 q $315/420 q $145/195

Tuesday, August 11

CE_19C q $240/325 q $315/420 q $145/195

CE_20C q $240/325 q $315/420 q $145/195

CE_21C q $380/515 q $505/680 q $230/310

CE_22C q $380/515 q $505/680 q $230/310

CE_23C q $400/535 q $525/700 q $250/330

CE_24C q $380/515 q $505/680 q $230/310

CE_25C q $240/325 q $315/420 q $145/195

CE_26C q $240/325 q $315/420 q $145/195

PROFESSIONAL DEVELOPMENTPrices are for April 30-June 30/July 1-23

ROUNDTABLES

COMPUTER TECHNOLOGY WORKSHOPS $55 /70 each

Wednesday, August 12

q CE_27T q CE_31T q CE_35T q CE_39T

q CE_28T q CE_32T q CE_36T



Member NonMember Student

PERSONAL SKILLS DEVELOPMENT OFFERINGSSaturday, August 8, and Sunday, August 9 (spans two days)

CE_40P q $380/515 q $505/680 q $230/310

Saturday, August 8

CE_41P q $380/515 q $505/680 q $230/310

Saturday, August 8, and Sunday, August 9 (spans two days)

CE_42P q $380/515 q $505/680 q $230/310

Sunday, August 9

CE_43P Free event. No registration required.

A.M. ROUNDTABLES$20 each; includes continental breakfast. Indicate your first and second choices by marking 1 and 2.

MONDAY August 10

TUESDAY August 11

WEDNESDAY August 12

ML01____ TL01____ WL01____

ML02____ TL02____ WL02____

ML03____ TL03____ WL03____

ML04____ TL04____ WL04____

ML05____ TL05____ WL05____

ML06____ TL06____ WL06____

ML07____ TL07____ WL07____

ML08____ TL08____

ML09____

Washington State Convention Center | August 8–13

KEY DATES:

www.amstat.org/jsmregistration

Sponsored by:*American Statistical Association | *International Biometric Society (ENAR and WNAR) *Institute of Mathematical Statistics | International Chinese Statistical Association International Indian Statistical Association | International Society for Bayesian Analysis International Statistical Institute | Korean International Statistical Society

Royal Statistical Society | *Statistical Society of Canada(*indicates the founding societies of JSM)

JSM2015

Don’t miss your chance to participate in the largest gathering of statisticians held in North America!

April 30 (11:00 a.m. EDT)Registration and housing open

June 1 (5:00 p.m. EDT)Early registration deadline

June 30 (5:00 p.m. EDT)Regular registration deadline (increased fees apply)

July 23 (5:00 p.m. EDT)Late registration deadline (increased fees apply)

July 15 (5:00 p.m. EDT)Housing reservation deadline

August 8–13 Onsite registration (increased fees apply)

Register online at

Non-Profit Org. U.S. Postage

PAID Alexandria,

Virginia Permit No. 361

American Statistical Association732 North Washington StreetAlexandria, VA 22314-1943 USA

Platinum

Gold

Silver

We thank the following JSM 2015 Sponsors for their financial support:

It is not too late to show your support for JSM by becoming a 2015 JSM Sponsor. Visit www.amstat.org/jsmsponsors to learn more.

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