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Clinical SAS

Course Overview

SAS (Statistical Analysis System) is the gold standard for data management, analysis and reporting in clinical trials and pharmaceutical research.

This comprehensive Clinical SAS course is designed for aspiring clinical data analysts, biostatisticians and clinical research professionals who want to master SAS programming for clinical research environments.

  • SAS Programming Fundamentals
  • CDISC Standards (SDTM, ADaM)
  • Clinical Data Management
  • Statistical Analysis & Reporting
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Features

Why Choose Our Clinical SAS Course?

Industry-Relevant Curriculum

Crafted by experienced SAS programmers and clinical research professionals

Hands-on Practice

Work with real-world clinical datasets and solve industry-standard problems

Regulatory Compliance

Learn to create FDA-compliant datasets, listings and statistical reports

Career Focused

Prepares you for high-demand roles in pharmaceutical and CRO industries

Curriculum

Course Modules

Module 1: SAS Programming Foundations

Introduction to SAS syntax, data types, libraries and basic programming concepts. Learn data manipulation, formatting and output creation.

Module 2: Clinical Data Management

Data cleaning techniques, validation checks and handling discrepancies. Master importing, merging and transforming clinical data sources.

Module 3: CDISC Standards Implementation

Learn SDTM and ADaM data models, mapping source data to standards and creating compliant datasets for regulatory submissions.

Module 4: Statistical Analysis & Reporting

Advanced statistical procedures, creating tables, listings and figures (TLFs) and generating comprehensive clinical study reports.

Careers

Career Opportunities

Clinical SAS Programmer

Develop SAS programs to process, analyze and report clinical trial data while ensuring regulatory compliance.

Clinical Data Manager

Oversee clinical data collection, cleaning and quality control processes for clinical trials.

Biostatistician

Apply statistical methods to analyze clinical trial data and draw meaningful conclusions about drug efficacy and safety.

Statistical Programmer

Generate statistical reports, tables and figures for clinical study reports and regulatory submissions.

Data Standards Specialist

Ensure clinical data conforms to CDISC standards and meets regulatory requirements for submissions.

Clinical Project Manager

Oversee clinical trials with strong understanding of data management and statistical analysis requirements.

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