SAS CLINCAL R Programming

This module introduces students to the R programming language and the RStudio interface. Learners will set up their development environment, understand how to write and run R scripts, and explore the basic structure of R projects. By the end of this module, students will be comfortable navigating RStudio and executing basic commands in R.

Explanining the concepts and programming technqiues

applying filteration and Creating and conditional technqiues 

Different examples on for loop and while loop and repeat loop

creating the programming technqiues on:

selecting ,filtering,grouping and summarizing

creating new variables using the existing variables .

creating programs on flags

combining or joining 2 or more datasets.

Deriving and durations

Creating flags using R programming with clincal data 

working with summary tables

Creating listinigs

Plotting AE timelines,dose response and histograms

CDISC (Clinical Data Interchange Standards Consortium) provides global standards like SDTM, ADaM, and Define.xml for organizing and submitting clinical trial data.

Regulatory Reporting involves preparing standardized datasets, tables, listings, and figures (TLFs) for FDA, EMA, and other authorities, ensuring compliance, traceability, and transparency in clinical submissions.

A comprehensive, real-time project that applies all learned SAS clinical programming concepts—like data cleaning, SDTM/ADaM creation, flag derivation, TLF generation, and reporting—to simulate end-to-end clinical trial analysis, preparing students for industry-level work and job readiness.