How to Interpret Clinical Data – Statistics and Clinical Trial Design in Practice

Date of next meeting: tbc January 2024

Do you regularly need to read and interpret detailed clinical data?

Would you like to develop a more in-depth understanding, and confidence in the interpretation, of the statistics in clinical trials?

This two-day course provides an intensive, fast-paced, but very accessible, explanation of statistics and clinical trial design.

Adrian Parrott, of PharmaSchool (, breaks down the complex topics into comprehensible language, allowing you to interpret clinical data with greater ease and confidence.

This course is valuable both to new starters and to those who are looking to refresh their skills in clinical data interpretation.

Topics covered in the course include:

  • Types of trials and trial designs
  • Endpoints
  • Randomisation
  • Blinding / masking
  • Power and sample sizing
  • Statistics for non-statisticians, including:
    • Discrete data
    • Odds ratio and relative risk
    • Continuous data
    • Variability
    • Standard error
    • Difference in means
    • Time to event data
    • Kaplan-Meier plots
    • Confidence data
    • Hypothesis testing
    • Types of error
    • P-value
    • Statistical tests
    • Statistical analysis plans
    • Populations
    • Intention to treat

The course also includes a half-day interactive workshop on how to critically read a clinical paper.

  Target audience:

This course would be of benefit to medical information and Code compliance professionals, and anyone else whose role involves interpreting clinical data to produce meaningful information for both colleagues and customers.


2 day face to face course with overnight accommodation

  Level of difficulty:


    Register your Interest