SAS FOR LIFE SCIENCES
SAS (statistical analysis systems) is business intelligence software
used for data analysis by more than 40,000 customers worldwide. SAS
provides many solutions for life sciences including:
*       Optimization of the flow of Scientific Data
*       Integration of molecular information with clinical outcomes
*       Building a centralized, searchable repository of all research
information
*       Compliance with regulatory requirements
*       Assessment of safety and effectiveness of new therapies
*       Management of Data from various sources like Electronic Data
Captures (EDC), In House Clinical Data Management System (CDMS) and
Contract Research Organizations (CROs)
*       Generation of Presentation-Ready Statistical Summaries of Clinical
Trial and other Biomedical Research Data.

The Data Analysis and Reporting Tools of SAS are already the Defacto
Standards among Pharma Companies and other Life Science Industries.
USFDA Cosiders SAS Validation as an important Component of Quality
Assurance, Reliability and Accuracy of Information for the Approval of
New Drugs.
This Course will mainly focus on Statistics, Quantitative analysis,
Research Design, and Data management, Data Analysis relating to Life
Sciences.
SAS is considered as the "gold standard" in many fields, particularly
in Medical Research and Drug Development. Many find that SAS has a
significant learning curve and is perhaps best learned as part of a
course or through interactive lessons rather than through self-study.
With SAS, we can dramatically improve your data analysis capabilities
and processes, of ready-to-use statistical analysis procedures and
rich, built-in graphical functionality to reveal relationships and
correlations not readily apparent in spreadsheet applications. It
saves time and expenses associated with data manipulation.
This Course also introduces the concept of SAS in life sciences and
also covers Live Projects on Techno-Functional and Functional Modules.
This Course Aims at Creating Man Power in this Hi-Tech ever growing
and much needed area, who can play a professional role at National and
International level. These Professionals can also enjoy an unique,
Challenging and Profitable Job Profiles.


Personal Trained in this Field will be involved in:
*       Statistical Analysis of Clinical and Research Data using SAS
SoftWare.
*       Prepare Custom derived SAS Data Sets.
*       Help ion Programming for New Drug Applications(NDAs).
*       Preparing repots for Drug Development  (Phases I - IV).
SAS9.1.3 CONTENTS
DURATION:     THREE MONTHS
Module:1 BASE /SAS
��      INTRODUCTION TO SAS PROGRAMMING
��      IMPORTANCE OF SAS FOR LIFE SCIENCES
��      CREATING SAS/LIBRARIES AND DATASETS
��      READING DATA TO DATASETS
��      CREATING PERMANANT LIBRARIES IN SAS ENVIRONMENT
��      READING EXTERNAL SOURCE DATA TO SAS DATASETS
��      WRITING SAS DATATO EXTERNAL SOURCES
��      IMPORTING AND EXPORTING OF DATA
��      FORMATS AND INFORMATS
��      CONDITIONAL STATEMENTS
��      AUTOMATIC VARIABLES
��      POINTERS
��      READING RAW DATA
��      CLEANING OF DATA
��      SAS/ODS
��      DDE
��      ARRAYS
BASE SAS PROCEDURES:
��      PROC   PRINT
��      PROC   OPTIONS
��      PROC   SORT
��      PROC   APPEND
��      PROC   TRANSPOSE
��      PROC   FORMS
��      PROC   REPORT
��      PROC   TABULATATE
��      PROC   IMPORT
��      PROC   EXPORT
��      PROC   INFORMATS
��      PROC   FORMATS
��      PROC   PRINTTO
��      PROC GCHART
��      PROC CHART
Module:2 SAS/MACROS
��      INTRODUCTION TO MACROS
��      STATEMENTS IN MACROS
��      % PUT, % LET
��      % SYMBOLGEN
��      % MPRINT
��      % MEND
��      NESTED MACROS
Module:3  SAS/CONNECT
Module:4  SAS/ACCESS
Module:5  SAS/SQL:   (PASS THROUGH FECILITY)
��      ORACLE
��      CREATING DATASETS BY USING SAS/SQL
��      UPDATE
��      MERGE
��      DELETION
��      MODIFYING THE DATASETS

Module:6  SAS/STAT
��      INTRODUCTION TO STATISTICS
��      IMPORTANCE OF STATS TO LIFE SCIENCES
��      IN SAS/STAT/PROCEDURE
��      PROC FREQ
��      PROC RANK
��      PROC CORR
��      PROC Z-TEST
��      PROC MEAN
��      PROC REGRESSION
��      PROC T-TEST
��      PROC   ANOVA
��      PROC GLM
Module:7   SAS/QC
��      CLEANING OF CLINICAL TRIAL DATA
��      INTRODUCTION TO CLINICAL TRALS
��      DOCUMENTATION
��      SAP INTRODUTION
��      IMPORTANCE OF BIOSTATISTICS
��      ICH AND GCP GUIDELINES
��      IMPORTANCE OF SAS FOR REGULATORY AFFAIRS
��      ANALYSIS OF CLINICAL TRIALS RESULTS
Module: 8  SAS/ETL
��      CONNECTING TO WARAHOUS ADMINISTRATORS
��      CONNECTING TO DRACLE DATABASE
Module:9 SAS/GENETICS




Address:
Global Institute of Biotechnology,
3-6-276/2, Above Mahesh Bank,
Himayat Nagar,
Hyderabad-29.
WWW.globalbiotek.net
[EMAIL PROTECTED]
Contact No:
Ph: 040-66621528
093910 05048













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