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

from 4 to 360h flexible workload
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 data and outliers, choosing suitable statistical tests, and developing adjusted models with proper diagnostics. Practice calculating 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 quickly.
- Analyse clinical outcomes by calculating change scores, NNT, and effect sizes effectively.
- Build regression models for trials with ANCOVA, validate diagnostics, and report adjusted effects.
- Perform rigorous data cleaning with QC checks, outlier detection, 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 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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