Application of spss usha (1)

m.pharmacy biostates ppt

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

2. 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.

3. 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.

4. 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

5. 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

6. RESEARCH & DEVELOPMENT
SPSS given the technique of specialize in design, development, and
implementation of corporate analytical and data mining
solution integrated with the existing data acquisition and storage
of 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.

7. QUALITY AND MANUFACTURING
PSS 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.

nline and offline SPC (Statistical Process Control)

rocess Capability Analysis.

easurement System Analysis.

esign of Experiment

rocess Validation.

8. COMPLIANCE AND VALIDATION
PSS 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.
ogether these features can radically change the way of your
organization works and remove the need for extensive manual
documentation of analytical processes.

alidation of Software.

nalysis of Audit Trails.

omputer Systems Validation

9. EMPOWER RESEARCHER WITH TOOLS
ven 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.
ffering a choice of desktop (stand-alone), networks, and server based
analytical platforms.
tatistician has provided analytical tools that are easy to use, relevant
and integrated with their data sources.

omprehensive Statistical Test & Graphical Tools.

fficient use of limited Statistician & Training Resources.

ntegrated with Existing System & Data Sources.

apid return on investment.

10. REGULATORY SAFETY TESTING
rom 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.
PSS tools provides the most efficient mechanism for automating and
validating routine analysis report.

ower and Sample Size Calculation.

redictive Data Mining.

orecasting and Report Generation.

nalysis of Complex Drug’s Assay.

11. CLINICAL TRIALS
thical 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.
PSS 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).

eneralized Linear and Non-Linear Model

ariance Component Estimations (ANOVA).

12. DATA MINING IN DRUG DISCOVERY
ith the advent of new technologies that allow very large amounts of data
to be captured and stored automatically many new challenges are
presented.
n application of classical statistical methods many were developed
specially to extract the maximum amount of information from minimal
data sets.
ccording 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.

andle Huge Data Sets with Ease.

xploratory Data Mining Techniques.

omprehensive Data Mining Toolkit.

13. SUMMARY
Industry standard process
Open system
Easy to use graphic interface
Flexibility
Productivity