Biometry Course
Master biometry for clinical trials: clean and check data, choose the right tests, build and diagnose regression models, explore subgroups, and present clear tables, figures, and effect sizes that drive sound statistical decisions.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
The Biometry Course gives you practical tools to design, analyze, and report clinical trial results with confidence. Learn data cleaning, handling missing values and outliers, selecting appropriate tests, and building adjusted models with clear diagnostics. You will practice effect size estimation, subgroup and sensitivity analyses, and produce publication-ready tables, figures, and plain-language interpretations.
Elevify Differentials
Develop Skills
- Baseline comparison mastery: apply t-tests, Wilcoxon, chi-square, Fisher fast.
- Clinical outcome analysis: compute change scores, NNT, and effect sizes clearly.
- Regression for trials: fit ANCOVA models, check diagnostics, report adjusted effects.
- Data cleaning for biometry: run QC checks, handle outliers and missingness rigorously.
- Subgroup and sensitivity skills: test interactions and run robust sensitivity checks.
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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