Clinical Trial Statistics Course
Master clinical trial statistics for heart failure studies. Learn sample size, interim analyses, multiplicity control, and time-to-event methods so you can design, analyze, and interpret trials that drive better decisions in healthcare.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Clinical Trial Statistics Course gives you practical skills to design, analyze, and interpret modern trials with confidence. Learn how to set clear objectives, define endpoints, calculate sample size and power, plan interim analyses, manage multiplicity, and handle time-to-event outcomes, hospitalizations, and sensitivity analyses so your results are rigorous, transparent, and publication-ready.
Elevify advantages
Develop skills
- Design heart failure trials: define endpoints, estimands, and target population.
- Calculate sample size and power: apply t-test formulas and run sensitivity checks.
- Plan interim analyses: set information fractions, stopping rules, and DMC workflow.
- Control multiplicity: build hierarchical testing and document SAP-compliant strategies.
- Interpret trial results: link HRs, CIs, and MCID to clear, clinically relevant messages.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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