Search Packages

pyseqtarget

Estimation of the observational analogs of the intention-to-treat and per-protocol effects of hypothetical treatment strategies

crforest

Competing-risks random survival forests for Python. 10-22× faster than rfSRC on real EHR data, scales to n=10⁶ in ~1 min, sklearn-compatible.

pygna

A Python package for gene network analysis

survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

biostatistics

An Intuitive App for Statistical Analysis

missingdata

missing data handing: visualize and impute

medicaid-utils

Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment, quality measures, and patient-level file construction for MAX and TAF CMS data

chai-one

An free and open source community implementation of Chai-1 in PyTorch

py4csr

Python for Clinical Study Reporting - Professional clinical trial reporting package

pmoss

Python package to model the p-value as an n-dependent function using Monte Carlo cross-validation.