Biometry Course
This course equips you with essential biometry skills for clinical trials. Learn to clean and validate data, select appropriate statistical tests, develop and diagnose regression models, conduct subgroup and sensitivity analyses, and create clear, publication-quality tables, figures, and effect size reports to support robust decisions.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain practical skills to design, analyse, and report clinical trial results confidently. Master data cleaning, missing value and outlier management, test selection, adjusted model building with diagnostics, effect size estimation, subgroup and sensitivity analyses, plus publication-ready tables, figures, and plain-language reports.
Elevify Advantages
Develop Skills
- Master baseline comparisons using t-tests, Wilcoxon, chi-square, and Fisher tests swiftly.
- Analyse clinical outcomes by calculating change scores, NNT, and effect sizes accurately.
- Build regression models for trials with ANCOVA, diagnostics, and adjusted effect reporting.
- Perform rigorous data cleaning with QC checks, outlier handling, and missing data management.
- Develop expertise in subgroup analysis and sensitivity testing for reliable results.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

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