Clinical SAS Training in Chennai

Best Clinical SAS Training Institute in Chennai

If you are on lookout for one of the Best Clinical SAS training Institutes in Chennai, having offered many IT solutions to many top corporate firms. Aimore does not offer conventional and traditional coaching but offers a mix of practical sessions which helps to shape and mould the students into successful IT professionals. Our practical methodology makes students learn concepts with relevance to the industry needs. We ensure that Students get the required experience along with good subject knowledge to handle corporate assignments.

  • Aimore is the best training centre for students to receive post training support like interview preparation tips and personality development sessions.
  • Aimore has a committed team of industry experts who deliver training and help mould the students into working professionals.
  • Through our group interaction for students, we ensure students receive deep insights into the subject matter concepts and help them gain confidence.
  • Softlogic follows a strict practical oriented session for coaching students.
  • Due to flexibility required for working professionals, we have customised timings and syllabus for working professionals. Contact our student centre for corporate training or customized online training. Our classes cater to both freshers and advanced levels.
  • Aimore’s huge success rate lies largely on the course content which is prepared for students, which helps them complete certification easily.
  • Aimore comes with great infrastructure facilities which is essential to provide a very motivated and inspired learning environment for students to learn. Aimore believes in creating a comfortable and supporting environment for students and ensures a great training atmosphere.
  • Aimore awards the course completion certificate, once the student completes the training program.
  • For students looking for Clinical SAS coaching Training in Chennai, speak to our career consultants for information and guidance.
  • Try the Free demo classes, which are made available for students.
  • Aimore also conducts corporate training and online courses for working professionals looking for flexible timings.

Clinical SAS Course Syllabus

Introduction to drug discovery and development process

  • Overview of highly regulated drug development process, from discovery to bringing a biopharmaceutical product to market.
  • Understanding major phases (Phase I – IV) of clinical trials and clinical data management
  • Food and Drug Administration (FDA) regulations and Guidance (21 CFR part 11, GCP, eCTD)
  • Regulatory overview and approval process including IND/NDA to FDA
  • Types and parameters of Clinical trial
  • Getting in depth knowledge about the functional group and working of CRO/Pharmaceutical industry and knowing in and out of guidelines pertaining to company involved in clinical trials
  • Learning about the general department structure of pharmaceutical industry, roles and responsibilities of SAS programmer in the company
  • Understanding clinical study and documents {e.g. Protocols, Case Report Form (CRF), annotated and electronic Case Report Form (aCRF and eCRF), Statistical Analysis Plan (SAP)}
  • Learning more about types of analysis in clinical trials (Pharmacokinetic, Pharmacodynamics, Efficacy, Safety, etc.)

Introduction to Clinical Trial Data

  • Learn to prepare and clean clinical trial data
  • Know how to categorize and summarize clinical data
  • Studying and classifying different types of clinical trial data {Safety (ISS) and Efficacy (ISE) Data}
  • Getting acquainted with new Clinical Data Interchange Standards Consortium (CDISC)
  • Implementation in categorizing clinical data.

Using SAS to Create Analysis Data sets

  • Key concepts for creating and transforming analysis data sets (Using DATA steps and PROC TRANSPOSE)
  • Comparing Data sets using PROC COMPARE
  • Understanding and creating Time-to-Event, Change-from-Baseline, Critical variables data sets.

Generate Customized Clinical Trials Tables, Listings and Graphs/Figures

  • Using PROC TABULATE to create clinical trial tables
  • Using PROC REPORT to report clinical trials tables and listing
  • Creating summaries of Adverse Event, Concomitant medication, Laboratory data using DATA steps and various SAS Procedures
  • Creating Kaplan-Meier Survival Tables using PROC LIFETEST or PROC GPLOT
  • Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and Listings.
  • Generating Graphs and Plots using SAS/BASE, SAS STAT and SAS/GRAPH
  • Producing Bar and Pie charts using PROC GPLOT and PROC GCHART
  • Creating Box and Scatter Plot using PROC BOXPLOT, PROC GPLOT and PROC UNIVARIATE

Performing Common Analyses and Obtaining Statistics

  • Obtaining Descriptive Statistics
  • Obtaining Inferential Statistics from Categorical Data
  • Analysis
  • Obtaining Inferential Statistics from Continuous Data
  • Analysis
  • Obtaining Time-to-Event Analysis Statistics

Performing Common Analyses and Obtaining Statistics

  • Using the SAS XPORT Transport Format
  • Creating XML Files

Clinical SAS Course Syllabus

The syllabus is meticulously prepared to meet the changing industry requirements, the content is regularly updated and the candidate can gain a holistic understanding of clinical SAS through our Clinical SAS Training in Chennai.

  • Introduction of SAS software.
  • Industries using SAS
  • Components of SAS System.
  • Architecture of SAS system.
  • Functionality of SAS System.
  • Introduction of SAS windows

Working in the SAS Environment

  • Functionality of SAS Windows.
  • Creating and managing SAS Libraries.
  • Overview of SAS Data states.
  • Types of Libraries.
  • Storing files temporarily and permanently.
  • Referencing SAS files.

Creation database from raw data

  • Steps to create a SAS dataset.
  • Creating SAS dataset using text file.
  • Creating SAS dataset using text file with delimiters.
  • Creating SAS dataset using structured text file.
  • Creating SAS dataset using unstructured text file.
  • Creating SAS dataset using Excel file.
  • Creating SAS dataset using Access file.
  • Creating SAS dataset using values inside the code.

Output delivery system

  • Concepts of output delivery system.
  • How ODS works and viewing output of ODS in different format.
  • HTML, RTF, PDF etc..

Combination the dataset

  • One-o-one reading
  • One to many
  • Many to many
  • Concatenation
  • Interleaving,
  • Match merge


  • Character function
  • Numerical function
  • Arithmetical function
  • Mathematical function
  • Date Function

Loops in SAS: Do Loops

  • Do Loop
  • Do While
  • Do Until


  • Definition of array
  • Example of array


  • Procedure Format.
  • Procedure Contents.
  • Procedure Options.
  • Procedure Append.
  • Procedure Compare.
  • Procedure Transpose.
  • Procedure Print.
  • Procedure Import.
  • Procedure Export.
  • Procedure Datasets.
  • Procedure Tabulate.
  • Procedure Chart, Gchart, Gplot.
  • Procedure Report.


  • Introduction to graphics.
  • Introduction to graphics.
  • Types of Graphics (with latest models)
  • Defining procedure Graphics.

Advance SAS Topic


  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.


  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.

Understand the use of macro functions.

Introduction of SAS and Clinical research

  • SAS role in Clinical Research.
  • What is Clinical trial?
  • What is Protocol and role of Protocol in Clinical Research?
  • Which is playing main role in Clinical Research?

Clinical Trials Data Structures

  • Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
  • Identify key CDISC principals and terms.
  • Describe the structure and purpose of the CDISC SDTM data model.
  • Describe the structure and purpose of the CDISC ADaM data model.
  • Describe the contents and purpose of define.xml.

Transform Clinical Trials Data

  • Apply categorization and windowing techniques to clinical trials data.
  • Transpose SAS data sets.
  • Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF).
  • Calculate ‘change from baseline’ results.


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