Clinical SAS 9.3

SAS for Life Sciences

With so many challenges facing the industry – pricing and pipeline pressures, patent expirations, soaring drug development costs, etc. – a life sciences company's strength, as well as the intellectual property it needs to improve the health of the public, is being threatened. SAS®, the industry leader in business analytics, assures accurate, consistent and reliable analysis of biopharmaceutical data and information. SAS is the choice of 100 percent of the FORTUNE Global 500® Pharmaceutical companies for Statistical Analysis.

This training will provide end-to-end theoretical & practical training sessions on 

SAS 9.3 including Base SAS, Advance SAS & Clinical SAS Project. Candidates experienced in this field are usually in very high demand and they command premium salaries. Due to lack of quality professionals, any pharmaceutical company or CRO’s are always on the lookout to hire candidates with skills in the SAS 9.3 with Clinical domain Knowledge. 

Following Course Content will be covered during the training:

Module 1: 

  • Welcome and Introduction
  • Drug Development and Clinical Trial Phases 
  • Fundamentals of Clinical Research & Roles in a CRO 
  • Introduction to SAS in Clinical Data Management.
  • Clinical Data Management Process & Life cycle
  • Importance of CDISC SDTM in Clinical SAS 
  • CDISC SDTM Introduction & Standards.
  • Clinical SAS Programmer Roles & Responsibilities  
  • Overview of good clinical practice(GCP)
  • What is a protocol?
  • What is informed consent?
  • What is a placebo?
  • What is a control or control group?
  • What are the different types of clinical trials?
  • Different types of reports generated by programmer in clinical trials?

Module - 2


  • Introduction To SAS System & Architect ure
  • History and Various Modules
  • Features
  • Variables & SAS Syntax Rules
  • SAS Data Sets
  • Data Set Options
  • Operators
  • If – Then Else Statement
  • Where Statement
  • Creating & Redefining Variables
  • Reading Raw Data
  • Infile Statement with Options
  • Multiple Observations and Multiple Datasets.
  • Input Styles
  • SAS Functions
  • Select Statement
  • Do Loops
  • Leave and Continue Statement s
  • Output Statement & Put Statement
  • Stop and Error Statement s
  • Array Statement
  • Modifying and Combining Data Sets
  • Updating Master Data Set
  • Key Board Macros & Add Abbreviations
  • Display Manager Commands



  • Proc Sort
  • Proc Print
  • Proc Means
  • Proc Freq
  • Proc Plot
  • Proc Chart
  • Proc Compare
  • Proc Copy
  • Proc Summary
  • Proc Append
  • Proc Datasets
  • Proc Contents
  • Proc Delete
  • Proc Format
  • Proc Printto



  • Frequency Report
  • One-Way Frequency Report
  • Cross Tabular Frequency Report
  • Summary Statistic s
  • Creating A List Report
  • Define Statement
  • Order Usage and Group
  • Printing Grand Totals
  • Rbreak Statement
  • Tabulate Procedure
  • One-Dimensional Tables
  • Two-Dimensional Tables
  • Obtaining A Total
  • Analysis Variables with options
  • Summary Statistics



  • Creating Rtf File
  • Creating Html File
  • Creating Pdf File
  • Creating Xml File




  • Introduction
  • History
  • Features
  • Sql Command Set
  • Operators In Sql
  • Order By Clause
  • Group By Clause
  • Having Clause
  • Distinct Clause
  • Create and Insert
  • Deleting, Populating and Updating




  • Introduction to SAS/SQL
  • Features & Uses
  • Terminology
  • Data Types, Key Words, & Operators
  • Functions, Predicate s & Functions
  • Formatting Output
  • Group By Clause, Order By Clause & Having Clause
  • Case Expression and Conditional Logic.
  • Creating, Populating & Deleting Tables
  • Alter Table Statement
  • Renaming a Table & Columns
  • Changing Column's Length
  • Joins & Views



  • Import & Export Procedure s
  • Importing data from Ms-Access & Ms- Excel
  • Importing data from Oracle database
  • DbLoad Procedure



  • Gchart Procedure
  • Vertical, Horizonta l, Pie
  • Donut
  • Group,Subgroups
  • Gplot  Procedure
  • Mutliple Plots & Overlay
  • Symbol Statement
  • Title  and Footnote Statement s
  • Goptions



  • Macro Concepts
  • Macros And Macro Variables
  • Creating Macro Variables
  • Using Macro Variables
  • Creating Modular Code With Macros
  • Invoking A Macro
  • Adding Parameter s To Macros
  • Macros with Condition al Logic
  • Using Various Procedure s In Macros
  • Automatic Variables
  • Macro Functions
  • Including External Macros


Module – 4:

  • Importance of CDISC SDTM in Clinical SAS
  • SDTM Introduction & Standards.
  • Key SDTM concepts & Understanding the SDTM Standard
  • Application of SDTM Standards.
  • Annotation of CRF’s
  • SDTM Mapping Specification
  • Define.XML
  • Brief overview of the other CDISC concepts like CDASH, ODM.
  • Creation of SDTM annotated CRF. 
  • A detailed review of SDTM concepts.
  • SDTM domain models and relationship tables. 
  • A discussion of common implementation issues.
  • Annotate CRFs in accordance with CDISC published or sponsor specific guidelines with appropriate metadata to reflect case report tabulation (CRT) data.
  • Create case report tabulation (CRT) data set specifications per CDISC or sponsor specified requirements.
  • How to represent various types of collected data in the SDTM format.
  • Implementation of standard clinical data solution best practices from CRF design through data analysis and reporting.
  • Create TLG,
  • SDTM data-sets
  • ADaM data-sets
  • CDISC Procedure for the CDISC SDTM 3.1 Format


Software used for training 

SAS 9.3


             45 Days (2 Hrs/Day)

We provide Live Project specific in Clinical Domain after completion of the SAS training to get real time exposure in Clinical SAS projects. 

List of Clinical SAS Projects we provide:

  • Safety, Tolerability, Pharmacokinetics and Pharmacodynamics of XXXX in Type 1 Diabetes Patients.
  • Study to Assess the Effect of XXXXX on the Pharmacokinetics of XXXX in Healthy Female Subjects.
  • A Parallel, Randomized, Double-Blind, Placebo-Controlled, Multicenter Proof of Concept Trial to Assess the Efficacy and Safety of 2 Different Transdermal Doses of XXXX in Subjects.
  • Fixed Dose Comparison of XXXX to an Active Comparator in Severely Depressed Patients.
  • An Open-Label, Behavioral-Treatment-Controlled Evaluation of the Effects of XXXX on the Frequency of Cytogenetic Abnormalities in Children 6-12 years of Age with ADHD.


Minimum Eligibility Criteria For Application To The Course Would Be Either Of The Following:

Applicants are recommended to have one of the following life Science degrees: Bachelor's, Master’s, or PhD, MBBS/ MD/B.D.S /M.D.S/ B.A.M.S / B.H.M.S /B.P.T/ B.Tech (Biotechnology / Pharmaceutical Science) / M.Tech (Biotechnology), B. Pharm /M.Pharm /BVSC / B.Sc. (Nursing) / B.Sc./M.Sc, M.Pharmacy, M.Sc /MA (Statistics)   and all professionals working with Pharmaceutical companies, CROs and Hospital.      

Must possess a Graduate, Post Graduate or Ph D Degree in Statistics, Mathematics, Engineer (All), B.Com/M.Com, BBA/MBA, BCA/MCA, Life Sciences (All), Pharmacy (All), Bio Informatics, Bio Technology, MBBS/BDS.

Selection Procedure:

To Maintain High Academic Standard, Gratisol Labs Gives Due Importance To The Quality Of Students Enrolled. To Ensure This, The Selection Of Individual Student Will Undergo The Following Procedure:

  • Personal Interview 
  • Screening And Selection Of Students


Certificate will be provided for this Course on successful completion of Assignments & Projects. Certificate would be awarded at the end of the program by Gratisol Labs.

For more information, please contact Gratisol Labs at This email address is being protected from spambots. You need JavaScript enabled to view it. .


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