Biometry Course
Gain expertise in biometry for clinical trials: thoroughly clean and validate data, select appropriate statistical tests, construct and diagnose regression models, investigate subgroups, and deliver clear tables, figures, and effect sizes to support reliable statistical decisions in research.

flexible workload of 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 results confidently. You will master data cleaning, managing missing values and outliers, choosing suitable statistical tests, and developing adjusted models with solid diagnostics. Practice estimating effect sizes, conducting subgroup and sensitivity analyses, and creating publication-ready tables, figures, and straightforward 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 regression models for trials with ANCOVA, perform diagnostics, and report adjusted effects.
- Conduct rigorous data cleaning with QC checks, outlier management, and missing data handling.
- Develop skills in subgroup analysis and sensitivity testing through interaction checks and robust validations.
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 workloadWhat our students say
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