cox-model
There are 0 repository under cox-model topic.
- survex
ModelOriented / survex
Explainable Machine Learning in Survival Analysis
brier-scorescox-regressionexplainable-aiexplainable-machine-learningexplainable-mlexplanatory-model-analysisinterpretable-machine-learninginterpretable-mlmachine-learningshapsurvival-analysiscox-modelprobabilistic-machine-learningr-packagecensored-datatime-to-eventxaibiostatisticsvariable-importancerLanguage:R 116 runopti / stg
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
Language:Python 109liupei101 / TFDeepSurv
COX Proportional risk model and survival analysis implemented by tensorflow.
Language:Python 105MI2DataLab / survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Language:Jupyter Notebook 93- models-by-example
m-clark / models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Language:R 72 chiragnagpal / deep_cox_mixtures
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
- Language:R 23
wenjie2wang / intsurv
Integrative Survival Models
Language:C++ 9Dynamic Models for Survival Data
Language:C++ 8alexpkeil1 / LSurvival.jl
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
Language:Julia 6Pegah-Ardehkhani / Cancer-Patients-Survival-Analysis
Survival Analysis of Lung Cancer Patients
Language:Jupyter Notebook 6- multisnpnet-Cox
rivas-lab / multisnpnet-Cox
Multiresponse time-to-event Cox proportional hazards model - CPU
Language:R 4 RRafiee / SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
Language:R 4bastienbotrel / Predicting-lung-cancer-survival-time-by-OWKIN
Solution that I provided to the 2020 challenge organized by Collège de France and Ecole Normale Supérieure of Paris. I finished 2nd out of the 98 teams/participants that participated.
Language:Jupyter Notebook 3desmarais-lab / IPTM
Interaction-Partitioned Topic Models (IPTM) using a Point Process Approach
Language:TeX 3neelsoumya / dsSurvivalClient
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
Language:HTML 3survival-lumc / CauseSpecCovarMI
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)
Language:R 3- Language:R 2
Code and supplementary materials for the manuscript "Handling missing covariate data in clinical studies in haematology" (2023, Best Practice & Research Clinical Haematology)
Language:R 2aleniart / survival_analysis_R
Survival analysis of marriages in the U.S. in R language.
Language:HTML 1dbjohnson / minimal-survival
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
Language:Python 1JRigh / Survival-Analysis-in-R-for-Public-Health
Survival analysis in R for Public Health (Imperial College London through Coursera)
Language:R 1MarvinEdorh / Data-Mining
UX Analytics & A/B Testing
Language:Python 1mounttai / OwnerAcceptance
simulated data and estimation code for replication purposes for the paper MKSC-20-0420
Language:MATLAB 1ossef / EPN_Research
Energy Packets Network with general service time distribution, 2020-2021.
Language:ReScript 1AbrahamHussein / STAT533
A survival analysis study of liver disease patients recreated in a Survival Methods course.
0DataStalker / Survival-Cox
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.
Language:R 0- Language:PostScript 0
femtonelson / Mayo-Clinic-Primary-Biliary-Cirrhos-Survival-Analysisis
Survival analysis of primary biliary cirrhosis patients
IvanKuchin / coxph
Cox proportional hazards model implementation and example usage.
Language:JavaScriptJayDS22 / Driver-Behavior-Analytics-System
🚙 Comprehensive driver risk analytics using Cox proportional hazards (C-index: 0.79) and Bayesian hierarchical models (91.4% accuracy) ⚡ Production-ready system with real-time scoring for 300K+ drivers, SHAP explainability, and full Docker/Kubernetes deployment stack
Language:Python- Language:R
makama-md / AI-for-Medical-Prognosis
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
Language:Jupyter Notebookshrivishalinirajaram / survival_analysis_practice
This is a practice of survival analysis concepts on an existing dataset, analysis using R code and interpretation. Suggestions for improvement always welcome.
YosefGuevara012 / Survival-Analysis
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).
Language:HTML
