Biometry Course
Gain mastery in biometry for clinical trials: clean and validate data, select appropriate statistical tests, construct and diagnose regression models, investigate subgroups, and produce clear tables, figures, and effect sizes to support evidence-based decisions. This comprehensive course ensures you can handle real-world trial data with precision and confidence, from initial checks to final reporting.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course equips you with practical tools to design, analyse, and report clinical trial results confidently. You will learn data cleaning, managing missing values and outliers, selecting suitable statistical tests, and developing adjusted models with robust 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.
- Apply regression techniques for trials, including ANCOVA models, diagnostics, and adjusted effect reporting.
- Perform rigorous data cleaning with quality control checks, outlier management, and missing data handling.
- Develop expertise in subgroup analyses 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 workload.What our students say
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