cox-regression

abess-team/abess

Fast Best-Subset Selection Library

ModelOriented/survex

Explainable Machine Learning in Survival Analysis

liupei101/TFDeepSurv

COX Proportional risk model and survival analysis implemented by tensorflow.

einatboro/awesome-survival-analysis

Resources for Survival Analysis

MI2DataLab/survshap

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

JuliaStats/Survival.jl

Survival analysis in Julia

sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

chiragnagpal/deep_cox_mixtures

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

danielegiardiello/Prediction_performance_survival

Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox proportional hazards models' (published in Annals of Internal Medicine)

selcukorkmaz/geneSurv

geneSurv: an interactive web-based tool for survival analysis in genomics research

rivas-lab/snpnet

snpnet - Efficient Lasso Solver for Large-scale genetic variant data

dmis-lab/VAECox

ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data

andreamazzella/r4asme

R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions

tinyheero/survutils

Survival analysis utility functions using functional programming principals

mwheymans/psfmi

psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets

pleonova/stat-tests

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

sahirbhatnagar/casebase

Apurva-tech/HackerCamp-Visara

Health app, that predicts diabetic retinopathy

xmuyzz/DeepPLGG

Deep learning prediction on BRAF genetic mutation for patients with pediatric low grade glioma (pLGG).

alexpkeil1/LSurvival.jl

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

neelsoumya/dsSurvival

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

RRafiee/SurvivalAnalysis

Survival modelling using Cox proportional hazard regression model

actuallyykatie/ba

business analytics course homework assignments

barupal/EPIC_Risk

R script for calculating cox proportional hazard models for the association between polyphenols and cancer risk in EPIC cohort

kapsner/mlsurvlrnrs

Survival learners for the `mlexperiments` R 📦

neelsoumya/dsSurvival_bookdown

A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

OrangePomeranian/Survival_Analysis

This project focuces on analysis of survival patients with Aids, with Python library Lifelines

pippipalma/MAMBA

MAMBA – Multi-pAradigM voxel-Based Analysis: a computational cookbot

rivas-lab/multisnpnet-Cox

Multiresponse time-to-event Cox proportional hazards model - CPU

ejeej/Survival_Analysis_Customers_Churn

Predicting customers' churn with survival analysis, including time-dependent variables

MoinDalvs/Survival_Analysis_From_Scratch

An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.

neelsoumya/dsSurvivalbookdown

A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

neelsoumya/dsSurvivalClient

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

tjbencomo/survival-talk-pntlab

Best practices for survival analysis at PNT Lab

xmuyzz/HeadNeckCancer-Outcome

A fully-automatic end-to-end outcome prediction platform for oropharyngeal cancer