Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
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Updated
May 9, 2024 - Julia
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
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.
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Dynamic Models for Survival Data
air pollution and mortality/readmission in ADRD population with Medicare data
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
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
A survival analysis study of liver disease patients recreated in a Survival Methods course.
This repository contains the exercises and workshops of the survival analysis classes based on the book by Peter J. Smith and the lecture notes of Luis Guillermo Monroy Diaz (UNAL).
Integrative Survival Models
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