Statistics for Non-Statisticians in Clinical Research
Book a session
| Date | Product | Location | Price | |
|---|---|---|---|---|
| 03/11/2026 | Statistics for Non-Statisticians in Clinical Research | Brussels | EUR 900 | Book |
| If you would like to have this course as an in-house session click here | ||||
About this course
Reasons to attend
A highly practical one-day workshop that helps clinical research professionals understand, question and confidently interpret the statistical evidence behind clinical trials. Rather than teaching statistical calculations, the course develops the statistical thinking needed to interpret clinical evidence, communicate effectively with statisticians, and make informed decisions throughout drug development.What's included?
- Documents and materials related to this course are included
- Globally recognised certificates awarded after test completion
Course schedule
- One Day face-to-face training: 09h00-17h00
Course Description
Do you ever read a clinical trial publication and feel lost the moment the results turn to p-values, confidence intervals, and significance tests? This one-day training is built for clinical research professionals who work with data but have little or no formal background in statistics.
Rather than turning you into a statistician, this workshop develops the statistical thinking needed to understand and critically evaluate clinical trial evidence. Through practical examples and interactive discussion, you will learn why statistics is fundamental to evidence-based medicine, how study design influences the reliability of results, how to recognise common pitfalls, and how to interpret statistical findings with confidence. The emphasis throughout is on understanding concepts rather than performing calculations.
The goal is not to make you a statistician, but an informed consumer of statistical evidence.
Programme highlight
- Why statistics matters in clinical research: understanding variability and uncertainty
- Populations, samples, study design, randomisation and bias
- What determines sample size in clinical trials (without the mathematics)
- Understanding descriptive statistics and interpreting data visualisations
- Statistical significance, confidence intervals and clinical relevance
- Reading the statistical story behind clinical trial tables, Kaplan-Meier curves and forest plots
- Understanding the impact of missing data and protocol deviations
- Critical appraisal of a published clinical trial using real-world examples
Learning objectives
- Explain why statistical thinking is fundamental to evidence-based clinical research
- Understand how study design, randomisation and sample size influence the reliability of trial results
- Interpret common statistical concepts including p-values, confidence intervals and treatment effects
- Distinguish statistical significance from clinical relevance
- Critically interpret tables, figures and statistical results presented in clinical trial publications
- Ask informed questions when discussing statistical analyses with statisticians and other cross-functional colleagues
Who should attend
This course is for clinical research professionals who regularly encounter statistical results but don't perform the analyses themselves: clinical research associates, clinical project managers, data managers, medical writers, regulatory affairs and pharmacovigilance professionals, clinical operations staff, and investigators.
No mathematical formulas or statistical software are required. The emphasis throughout is on understanding concepts and applying statistical thinking to real-world clinical research.
Competencies
This course covers competencies that are part of the ECCRT Competency Framework
- Scientific Concepts & Research Design (3)
- Ethical & Participants Safety Considerations (0)
- Investigational Product Development and Regulation (0)
- Clinical Studies Operations (GCPs or ISO 14155) (0)
- Study and Site Management (0)
- Data Management and Informatics (2)
- Leadership and Professionalism (0)
- Communication (0)
- Teamwork (0)
- Business acumen (0)
Trainers
Bert Macken
Eli Lilly
Professionalism and expert trainer.