Biometry Course
Gain mastery in biometry for clinical trials by learning to clean and validate data, select appropriate statistical tests, construct and evaluate regression models, investigate subgroups, and deliver clear tables, figures, and effect sizes to support reliable decisions in research and practice. This practical course builds confidence in handling real-world trial data from start to finish.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to design, analyse, and report clinical trial outcomes confidently. You will master data cleaning, managing missing data and outliers, choosing suitable statistical tests, and developing adjusted models with proper checks. Gain expertise in estimating effect sizes, conducting subgroup and sensitivity analyses, and creating ready-to-publish tables, graphs, and straightforward explanations.
Elevify advantages
Develop skills
- Master baseline comparisons using t-tests, Wilcoxon, chi-square, and Fisher tests quickly.
- Analyse clinical outcomes by calculating change scores, NNT, and effect sizes effectively.
- Build regression models for trials with ANCOVA, diagnostics, and adjusted effect reporting.
- Perform rigorous data cleaning with QC checks, outlier management, and missing data handling.
- Develop skills in subgroup analysis and sensitivity testing for robust results.
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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