Data Science & Analytics
Tooluniverse Statistical Modeling
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
- Publisher / source
- FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)
- Upstream record
- FreedomIntelligence/OpenClaw-Medical-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
ff206cbfcb9d7eefafffd21527b19dcf1cd17716b3b7284e4cf9795ad6e1f73a