COX Proportional risk model and survival analysis implemented by tensorflow.

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

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

Explainable Machine Learning in Survival Analysis

Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

This repo contains my assignment notebooks for the AI for Medicine Specialization course. The link to the course: AI for Medicine Specialization https://www.coursera.org/learn/ai-for-medical-prognosis

Dynamic Models for Survival Data

Survival modelling using Cox proportional hazard regression model

Smooth Hazard Ratio Curves Taking a Reference Value

Integrative Survival Models

Easily Process a Batch of Cox Models

Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression

Survival Analysis of Lung Cancer Patients

This repository contains an R script for performing survival analysis on breast cancer surgery data from the University of Chicago's Billings Hospital. The analysis includes Kaplan-Meier estimation and Cox Proportional Hazards modeling to assess patient survival.

Survival analysis of primary biliary cirrhosis patients

simulated data and estimation code for replication purposes for the paper MKSC-20-0420

Survival analysis of marriages in the U.S. in R language.

Code and supplementary materials for the manuscript "Multiple imputation for cause-specific Cox models: assessing methods for estimation and prediction" (2022, Statistical Methods in Medical Research)