cox-proportional-hazard

Survival Analysis of Lung Cancer Patients

Python survival analysis/survival curves, with a scikit-learn-like api

KM plots and Cox Proportional Hazards model for feature selection

A Python distribution of iCARE, a tool for individualized Coherent Absolute Risk Estimation.

Breast Cancer Survival Analysis using SAS on METABRIC dataset to identify key survival factors with Kaplan-Meier, Cox models, and gamma distributions

Federated algorithm for coxph in Vantage6 v4

Python implementation of extracting body weight dynamics in diversity outbred mice using ARHMM.

survival analysis on cirrhosis data from mayo clinic study: kaplan-meier estimator/curve, log rank test, cox proportional hazards model

Advanced survival analysis using ASA‑aligned methods, including Cox PH modeling, Kaplan–Meier curves, hazard estimation, diagnostics, and reproducible time‑to‑event workflows. Built as a professional portfolio project demonstrating modern statistical survival modeling.

A comprehensive end-to-end survival analysis project using classical and deep learning models with clinical data, including preprocessing, modeling, evaluation, and interpretability.

CoxKAN: Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis

Exploring disparities in the COMPAS algorithm: an analysis of recidivism predictions among demographic groups.

Methodology research comparing statistical and ML methods of competing risks analysis

Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial models, and survival analysis using Kaplan-Meier, Cox, and parametric models. The course emphasizes categorical and time-to-event analysis using Stata.

A deep partially linear regression to estimate the change point and its linear and nonlinear effects.

This repository contains Python code for performing Cox proportional hazards model analysis tailored to crossover study designs.

Prognostic significance of sarcopenia in urothelial cancer