CDISC SDTM, ADAM, and TLFs

• SDTM (Study Data Tabulation Model):

  • Standardizes organization and structure of clinical trial data.
  • Divides data into specific domains for easy integration and analysis.
  • Facilitates interoperability and regulatory submissions.

• ADaM (Analysis Data Model):

  • Standardizes organization and structure of analysis datasets.
  • Supports statistical analysis and reporting of clinical trial results.
  • Derived from SDTM data and designed for analysis purposes.

• TLFs (Tables, Listings, and Figures):

  • Provides standard output formats for presenting clinical trial data.
  • Includes tables, listings, and figures summarizing key findings.
  • Used for regulatory submissions, study reports, and publications.

Before learning CDISC SDTM, ADAM, and TLFs , you should have:

1. Clinical Research Knowledge: Understanding of clinical trial processes and terminology.
2. Data Management Skills: Familiarity with data collection, entry, and management practices.
3. Statistical Analysis Skills: Basic knowledge of statistical analysis concepts and techniques.
4. Computer Skills: Proficiency in using data analysis software and tools.

By learning CDISC SDTM, ADAM, and TLFs , you gain the following skills:

1. Data Standardization: Ability to standardize and organize clinical trial data according to CDISC standards.
2. Data Modeling: Skills in structuring and modeling clinical trial data for analysis and reporting.
3. Statistical Analysis: Proficiency in using analysis datasets for statistical analysis of clinical trial results.
4. Report Generation: Capability to generate tables, listings, and figures summarizing clinical trial data.