Biometry Course
Gain expertise in biometry for clinical trials: clean and validate data, select appropriate tests, construct and diagnose regression models, investigate subgroups, and deliver clear tables, figures, and effect sizes to support evidence-based decisions. Ideal for researchers needing reliable statistical tools in trial analysis.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with practical 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 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 swiftly.
- Analyse 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 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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