Advanced SAS Clinical with CDISC, SDTM and ADAM

Gain expertise in SAS and learn how to apply it in the cross functional domain of Healthcare/Pharma/IT.

Overview

Why SAS

SAS analytics Science is a rapidly growing industry and requires trained professionals in the cross functional domain of Healthcare/Pharma/IT. It is heavily used in a wide range of industries such as insurance, education, banking and the life sciences.

In This Course

Get trained on the Advanced concepts of SAS such as set operators, statistical and analytical procedures. Gain a clear understanding of Automatic macro variables within the SAS Macro Language, and of the structure and purpose of the CDISC, SDTM and ADAM data model.

The Sollers Advantage

The Short-term Program in Advanced SAS Clinical by Sollers is taught by faculty experienced in the industry. The program is a great way to quickly develop an in-demand skill working with the latest technologies and gaining valuable hands-on experience.

Syllabus

Statistical Procedures for Clinical Trials SAS/STAT – Part I

  • PROC FREQ – chisq/Fisher’s
  • exact/ODD’s ratio, Relative risk
  • PROC UNI-VARIATE Procedure
  • PROC CORR Procedure
  • PROC REG Procedure

Statistical Procedures for Clinical Trials SAS/STAT – Part II

  • PROC ANOVA
  • PROC NPAR1WAY
  • SURVIVAL ANALYSIS

Using SAS/ODS/GRAPH

  • For Exploring data (PROC CHART – vbar, hbar, pie, block,)
  • PROC PLOT (plot, boxplot)
  • For professional charts (FDA) (PROC GCHART-pattern, PROC GPLOTsymbol)

Reporting of Clinical Trial Data

  • For Ad-hoc (PROC PRINT)
  • Introduction to Graphs
  • For Generating Tables and Listings (PROC REPORT)
  • For Summary Tables (PROC TABULATE)

Using SAS/ Macro facility -Part I

  • Introduction to SAS/Macros
  • Create and use user-defined and automatic macro variables

 Using SAS/ Macro facility- Part II

  • Using System Options to Display Values of Macro Variables in the SAS Log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN)
  • Using SAS/Macros Procedures

Validation of Clinical Trial Data

  • The Principles of Validation Programming
  • Utilizing the Log File to Validate Clinical Trial Data sets
  • Using SAS Procedures to Verify Clinical Trial Reporting (PROC COMPARE, FREQ, UNI-VARIATE)
  • Identifying and Resolving Data and Syntax Problems

Using Edit Checks, CDISC/SDTM, and ADaM with Demograpihc data

  • Working with Edit Check Specifications
  • Identify the Classes and Modules of Clinical Trial Data
  • Understanding of CDISC Principles and Terms

Using Edit Checks, CDISC/SDTM, and ADaM with Adverse events Data

  • Working with Edit Check Specifications
  • Identify the Classes and Modules of Clinical Trial Data
  • Understanding of CDISC Principles and Terms

Using CDISC/SDTM and ADaM

  • Reporting clinical data

Clinical Research

  • Basic of research
  • Phases of clinical research
  • ICH-GCP guidelines
  •  HIPPA and IRB
  • Data flow in clinical research

 Clinical Data Management (Self Paced)

  • Data Management oracle clinical
  • Data extraction from clinical research

Course Date

Starting soon

Months (Reserve your spot)

Engagement

50 Days 

For information regarding fee and/or reserving your spot, contact our Admissions Team.

OUR STUDENTS WORK AT

Sollers partners with industry-leading corporations and provides them with ready-on-day-one employees. We record an 82% placement rate within three months of graduation.

Financial Options

Sollers has devised viable financial options for you to ensure tuition does not get in the way of your education. Now, you can focus your attention where it needs to be – in the classroom!

Career Guidance

After the completion of program, we assist our students with interview coaching, resume building sessions, conduct mock interviews, job readiness training and make them competent to venture into the corporate world.

Student Testimonials

  • Emmanet T.
    The Clinical Trial Management course is extensive, and the professors are thorough in delivering the course materials using real life experience and insight. Career Services helped me throughout the interview process, and I landed my dream job with the very first interview after graduating from Sollers.
    Emmanet T.
  • Rudolf M.
    Thanks to the academic team at Sollers, I was able to gain quick admission with financial options to pay tuition. Career Services was very helpful with resume and interview prep. They sent me job postings with major hospitals and pharma companies which helped me land my current job as Data Manager in cancer clinical trials.
    Rudolf M.

Campus Visit