Biometry Course
Gain expertise in biometry for clinical trials by learning to clean and validate data, select appropriate statistical tests, construct and evaluate regression models, perform subgroup analyses, and generate 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 essential tools to design, analyze, 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 efficiently.
- Analyze 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 skills in subgroup analysis and sensitivity testing through interaction assessments and robust 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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