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

Energy Packets Network with general service time distribution, 2020-2021.

Minimal implementation of Kaplan-Meier and Cox proportional hazards models

air pollution and mortality/readmission in ADRD population with Medicare data

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.

Dynamic Models for Survival Data

Explainable Machine Learning in Survival Analysis

Smooth Hazard Ratio Curves Taking a Reference Value

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

Easily Process a Batch of Cox Models

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

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

Code and supplementary materials for the manuscript "Handling missing covariate data in clinical studies in haematology" (2023, Best Practice & Research Clinical Haematology)

Survival analysis in R for Public Health (Imperial College London through Coursera)

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

Survival Analysis of Lung Cancer Patients

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)

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

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

UX Analytics & A/B Testing