Biometry Course
Gain expertise in biometry for clinical trials by learning to clean and validate data, select suitable statistical tests, develop and assess regression models, conduct subgroup and sensitivity analyses, and generate clear tables, figures, and effect sizes to support reliable 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 methods to design, analyze, and present clinical trial data effectively. You will master data cleaning, outlier management, test selection, adjusted modeling with diagnostics, effect size calculations, subgroup analyses, sensitivity testing, and creating ready-to-publish tables, graphs, and simple explanations.
Elevify advantages
Develop skills
- Master baseline comparisons using t-tests, Wilcoxon, chi-square, and Fisher tests quickly.
- Analyze clinical outcomes by calculating change scores, NNT, and effect sizes accurately.
- Build regression models for trials with ANCOVA, diagnostics, and adjusted effect reporting.
- Perform rigorous data cleaning with QC checks, outlier handling, and missing data management.
- Develop skills in subgroup analysis and sensitivity testing through interaction checks.
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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