GitHub topics: cox-model
IvanKuchin/coxph
Cox proportional hazards model implementation and example usage.
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ModelOriented/survex
Explainable Machine Learning in Survival Analysis
Language: R - Size: 309 MB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 112 - Forks: 10

MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
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lmaowisc/BMI741
Course site for BMI 741 at UW-Madison
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m-clark/models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Language: R - Size: 26.2 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 68 - Forks: 18

wenjie2wang/dynsurv
Dynamic Models for Survival Data
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Pegah-Ardehkhani/Cancer-Patients-Survival-Analysis
Survival Analysis of Lung Cancer Patients
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runopti/stg
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
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lmaowisc/IntCens
Non- and Semi-Parametric Analysis of Interval-Censored Data
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alexpkeil1/LSurvival.jl
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
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neelsoumya/dsSurvivalClient
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
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ossef/EPN_Research
Energy Packets Network with general service time distribution, 2020.
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dbjohnson/minimal-survival
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
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ShixiangWang/ezcox
Easily Process a Batch of Cox Models
Language: R - Size: 7.1 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2

DataStalker/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.
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liupei101/TFDeepSurv 📦
COX Proportional risk model and survival analysis implemented by tensorflow.
Language: Python - Size: 573 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 95 - Forks: 27

aleniart/survival_analysis_R
Survival analysis of marriages in the U.S. in R language.
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femtonelson/Mayo-Clinic-Primary-Biliary-Cirrhos-Survival-Analysisis
Survival analysis of primary biliary cirrhosis patients
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arturstat/smoothHR
Smooth Hazard Ratio Curves Taking a Reference Value
Language: R - Size: 90.8 KB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 4

desmarais-lab/IPTM
Interaction-Partitioned Topic Models (IPTM) using a Point Process Approach
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RRafiee/SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
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wenjie2wang/intsurv
Integrative Survival Models
Language: C++ - Size: 751 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 2

chiragnagpal/deep_cox_mixtures
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
Size: 3.11 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 4

rivas-lab/multisnpnet-Cox
Multiresponse time-to-event Cox proportional hazards model - CPU
Language: R - Size: 167 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

survival-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 - Size: 86.8 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

mounttai/OwnerAcceptance
simulated data and estimation code for replication purposes for the paper MKSC-20-0420
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MarvinEdorh/Data-Mining
UX Analytics & A/B Testing
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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).
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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
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