APPLICATION OF SPSS Rajat Kumar, M.Pharm (P’ceutics) NIET Gtr. Noida

INTRODUCTION

SPSS is a software package used for conducting statistical analysis, manipulating data, and generating table and graphs that summarize data.

SPSS performs statistical analysis range from basic descriptive statistics, such as average and prevalence, to advanced inferential statistical, such as regression model, analysis of variance (ANOVA), factor analysis etc.

SPSS also contains several tools for manipulating data, including functions for recording data, macros programming on visual basic editor, merging data, and aggregating complex data sets.

FEATURES AND BENEFITS

For Small And Medium Enterprises (SME)

Resources & best practices.

Techniques for cleaning data.

Access Data in Relational Databases.

For Large Scale Enterprises (LSE)

Real time processing and online mapping.

Online Database connectivity different networks.

Data import & export data from different medium like SAS, Statistica.

Compliances and Validations.

What are the options?

Many commercial products available

SAS, Statistica, Minitab, and others

Excel

Widely available (part of MS Office Suite)

Not a statistical software – spreadsheet

Finance, math, and statistics applications

SPSS

Robust software for sophisticated statistical applications

Upgrade with add-ins

WHY SPSS?

Strengths Very robust statistical software Many complex statistical tests available Good “stats coach” help with interpreting results Easily and quickly displays data tables Can be expanded

Using the syntax feature Purchasing add-ins

Limitations Can be expensive Not intuitive to use

Typically requires additional training to maximize features (at a cost) Graphing feature not as simple as Excel

RESEARCH & DEVELOPMENT

SPSS given the technique of specialize in design, development, and implementation of corporate analytical and data miningsolution integrated with the existing data acquisition and storageof systems. Its continuously given the solution in Pharmaceutical and Medical research.

Quality and Manufacturing.

Compliance and Validation..

Empower Researcher with Tools.

Regulatory Safety Testing.

Clinical Trails.

Data Mining in Drug Discovery.

QUALITY AND MANUFACTURING

SPSS can provide a single, standardized quality control and improvement solution that can be easily validated that cover the whole range of manufacturing statistics, including simple descriptive statistics and graphics, QC charting, capability analyses for normal and Non-normal distributions, design of experiment (DOE) much more.

Online and offline SPC (Statistical Process Control)

Process Capability Analysis.

Measurement System Analysis.

Design of Experiment

Process Validation.

COMPLIANCE AND VALIDATION

SPSS offers a pre-validation core platform with fully secure user administration and configuration control, audit trails on system configuration changes, data manipulation, analysis results and integrated data modules.

Together these features can radically change the way of your organization works and remove the need for extensive manual documentation of analytical processes.

Validation of Software.

Analysis of Audit Trails.

Computer Systems Validation

EMPOWER RESEARCHER WITH TOOLS

Even small improvement in research and development process directly affect an organization’s bottom line and many pharmaceuticals research organizations have experienced the positive impact of deploying SPSS.

Offering a choice of desktop (stand-alone), networks, and server based analytical platforms.

Statistician has provided analytical tools that are easy to use, relevant and integrated with their data sources.

Comprehensive Statistical Test & Graphical Tools.

Efficient use of limited Statistician & Training Resources.

Integrated with Existing System & Data Sources.

Rapid return on investment.

REGULATORY SAFETY TESTING

From simple bioassay and dose-response experiments to long-term survival and carcinogenicity studies, SPSS has the tools to handle your data. Where the standard study designed are used.

SPSS tools provides the most efficient mechanism for automating and validating routine analysis report.

Power and Sample Size Calculation.

Predictive Data Mining.

Forecasting and Report Generation.

Analysis of Complex Drug’s Assay.

CLINICAL TRIALS

Ethical considerations and at least in Phase I and Phase II Studies small sample sizes make it imperative that the most power statistical methods be used in ordered to established efficacy and detect side effects.

SPSS is unique in providing a fully document management system along with complete analytical toolkit. With ability to directly query standard database platforms and to import a wide range of data file format (including SAS files).

Generalized Linear and Non-Linear Model

Variance Component Estimations (ANOVA).

DATA MINING IN DRUG DISCOVERY

With the advent of new technologies that allow very large amounts of data to be captured and stored automatically many new challenges are presented.

In application of classical statistical methods many were developed specially to extract the maximum amount of information from minimal data sets.

According to the FDA Critical Path Initiative the use of data mining technology and methodology is central to improvement discovery, pre-clinical and clinical research. SPSS perform a excellent crunch the complex data sets.

Handle Huge Data Sets with Ease.

Exploratory Data Mining Techniques.

Comprehensive Data Mining Toolkit.

SUMMARY

Industry standard process

Open system

Easy to use graphic interface

Flexibility

Productivity