Biometry Course
Gain expertise in biometry for clinical trials by learning data cleaning and validation, selecting optimal statistical tests, constructing and validating regression models, conducting subgroup and sensitivity analyses, and generating clear tables, figures, and effect sizes for informed decision-making in research.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with essential tools to design, analyse, and report clinical trial outcomes effectively. You will master data cleaning, outlier management, test selection, model building with diagnostics, effect size calculations, subgroup analyses, sensitivity checks, and creating publication-ready visuals and interpretations.
Elevify advantages
Develop skills
- Master baseline comparisons using t-tests, Wilcoxon, chi-square, and Fisher tests efficiently.
- Analyse clinical outcomes by calculating change scores, NNT, and effect sizes accurately.
- Build and diagnose ANCOVA regression models for trials and report adjusted effects.
- Perform rigorous data cleaning with QC checks, outlier handling, and missing data management.
- Develop skills in subgroup analysis through interaction tests and robust sensitivity analyses.
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
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