CFAR Biostatistics Core (CBC)

Dr. Mimi Kim, Director

Science at the heart of medicine

Division of Biostatistics

14 Doctoral, 4 Associate Level

Xiaonan Xue Wenzhu Bi Juan Lin

Charles Hall Cuiling Wang Yiting Yu

Yungtai Lo Kenny Ye Dan Wang

Abdissa Negassa Tao Wang Sam Xie

Hillel Cohen Moonseong Heo

Ryung Kim Shankar Viswanathan

Mimi Kim Baiyu Zhou

5 Professors, 4 Associate Professors, 5 Assistant Professors

Science at the heart of medicine

Organization

Division ofBiostatistics

CFARBiostatistics

Core

AECC Biostatistics

Shared Resource

ICTRBiostatistics

Core

EASBiostatistics

Core

Center for Quantitative

Sciences

Why do we need the CBC?

• Access to statisticians experienced in HIV/AIDS Research

• Increase in statistical personnel available to CFAR investigators

• Wider range of expertise

Personnel in CBC

Einstein campus:• Mimi Kim, Director (15% FTE)• Yungtai Lo, Doctoral level statistician (10% FTE)• Juan Lin, Masters level statistician (20% FTE)

Montefiore campus:• Moonseong Heo, Associate Director (26% FTE)• Yuming Ning, Doctoral level statistician (45% FTE)

Areas of expertise

• Laboratory experiments• Clinical trials• Epidemiologic studies• Longitudinal and clustered data• Mixture models• Missing data• Genetics/Genomics

Specific Aims

• Provide statistical and epidemiologic support on all phases of HIV/AIDS research studies

• Provide support for new HIV/AIDS-related research initiatives

• Identify new problems requiring the development of novel statistical methods

• Provide training and mentoring in research methodology

Aim 1: Support on all phases of AIDS research

• Study design (lab experiments, genomics and genetics studies, clinical trials, epi studies)

• Study conduct and monitoring

• Data presentation, analysis, interpretation, reporting

Aim 2: Support on new research initiatives

• Development of protocols and applications for peer-reviewed funding

• Formulation of hypotheses

• Sample size calculations

• Analytic plan

Aim 3: Methods Development

• Identify issues in AIDS research which need new methodological development

• Center for Quantitative Sciences in Biomedical Research

Aim 4: Training and Mentoring

Examples :• Biostatistics and Study Design: Identifying and Avoiding

Common Errors• Statistical methods in comparative effectiveness

research• Meta-analysis• Current approaches for adjusting for confounding in

observational studies• Microarray data pre-processing and normalization,

methylation analysis, DNA sequence analysis.

Policies

• No charge for short-term statistical support• No charge for grant proposals but statistical

collaborator should be included in the budget for appropriate % FTE

• Authorship: based on contribution to paper and independent of whether funding was received

Resubmission• Need to identify stat/epi needs in other cores

and CBC link to each core

-Clinical and Translational Investigation Core (M.Heo; Y. Ning)

-Flow Cytometry Core (J. Lin) -Virology Core (Y. Lo) -Immunology/Pathology Core (Y. Lo) -Animal Biohazard Core (J. Lin) -Developmental Core (M. Kim)

• Better coordination of CBC write-up with other cores

• Identify areas in AIDS research which need new methods development

• Ideas for short course/training topics for CFAR members