https://github.com/bibymaths/clinical-trials-stats-r
R scripts for statistical analysis of clinical trials, focusing on non-parametric methods, permutation tests, and visualization. Includes Wilcoxon-Mann-Whitney tests, Kruskal-Wallis tests, and rank-based effect estimation to analyze treatment outcomes
https://github.com/bibymaths/clinical-trials-stats-r
behrens-fischer-problem clinical-trials non-parametric-statistics
Last synced: over 1 year ago
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R scripts for statistical analysis of clinical trials, focusing on non-parametric methods, permutation tests, and visualization. Includes Wilcoxon-Mann-Whitney tests, Kruskal-Wallis tests, and rank-based effect estimation to analyze treatment outcomes
- Host: GitHub
- URL: https://github.com/bibymaths/clinical-trials-stats-r
- Owner: bibymaths
- License: mit
- Created: 2025-03-20T12:22:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-20T12:32:43.000Z (over 1 year ago)
- Last Synced: 2025-03-20T13:49:41.001Z (over 1 year ago)
- Topics: behrens-fischer-problem, clinical-trials, non-parametric-statistics
- Language: R
- Homepage:
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0