Biometry Course
Gain expertise in biometry for clinical trials: rigorously clean and validate data, select optimal statistical tests, construct and assess regression models, conduct subgroup and sensitivity analyses, and deliver compelling tables, figures, and effect sizes to inform robust decisions in research and practice.

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 outcomes confidently. Master data cleaning, outlier and missing data management, test selection, adjusted model building with diagnostics, effect size calculations, subgroup analyses, sensitivity testing, and creating publication-quality tables, graphs, and simple explanations.
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 precisely.
- Build regression models for trials with ANCOVA, diagnostics, and adjusted effect reporting.
- Perform thorough data cleaning with QC checks, outlier handling, and missing data strategies.
- Develop subgroup analysis and sensitivity testing skills for reliable interaction detection.
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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