Topic: "cox-regression"
CamDavidsonPilon/lifelines
Survival analysis in Python
Language: Python - Size: 43.1 MB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 2,436 - Forks: 560
abess-team/abess
Fast Best-Subset Selection Library
Language: C++ - Size: 209 MB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 482 - Forks: 42
ModelOriented/survex
Explainable Machine Learning in Survival Analysis
Language: R - Size: 309 MB - Last synced at: 11 days ago - Pushed at: 10 months ago - Stars: 111 - Forks: 10
liupei101/TFDeepSurv 📦
COX Proportional risk model and survival analysis implemented by tensorflow.
Language: Python - Size: 573 KB - Last synced at: 12 months ago - Pushed at: about 4 years ago - Stars: 95 - Forks: 27
einatboro/awesome-survival-analysis
Resources for Survival Analysis
Size: 49.8 KB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 93 - Forks: 10
MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Language: Jupyter Notebook - Size: 8.99 MB - Last synced at: about 12 hours ago - Pushed at: over 1 year ago - Stars: 85 - Forks: 16
JuliaStats/Survival.jl
Survival analysis in Julia
Language: Julia - Size: 448 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 73 - Forks: 23
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.
Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 31 - Forks: 13
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: over 1 year ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 4
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)
Language: SAS - Size: 5.34 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 13
rivas-lab/snpnet
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
Language: R - Size: 7.52 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 3
dmis-lab/VAECox
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
Language: Python - Size: 85.5 MB - Last synced at: 17 days ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 9
selcukorkmaz/geneSurv
geneSurv: an interactive web-based tool for survival analysis in genomics research
Language: HTML - Size: 36.1 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 10
tinyheero/survutils
Survival analysis utility functions using functional programming principals
Language: R - Size: 449 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 1
mwheymans/psfmi
psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets
Language: R - Size: 4.95 MB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 6
andreamazzella/r4asme 📦
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
Size: 166 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 5
sahirbhatnagar/casebase
Language: R - Size: 222 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 9 - Forks: 5
pleonova/stat-tests
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
Size: 519 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 4
Apurva-tech/HackerCamp-Visara
Health app, that predicts diabetic retinopathy
Language: CSS - Size: 4.12 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2
alexpkeil1/LSurvival.jl
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
Language: Julia - Size: 1.93 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1
neelsoumya/dsSurvival
Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
Language: R - Size: 4.25 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 12
xmuyzz/DeepPLGG
Deep learning for genetic mutation and survival prediction on pediatric low grade glioma (pLGG).
Language: Python - Size: 245 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0
bydmitry/efron-tf
Efron Approximation in TensorFlow
Language: Python - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2
barupal/EPIC_Risk
R script for calculating cox proportional hazard models for the association between polyphenols and cancer risk in EPIC cohort
Language: R - Size: 6.84 KB - Last synced at: 2 days ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1
kapsner/mlsurvlrnrs
Survival learners for the `mlexperiments` R 📦
Language: R - Size: 121 KB - Last synced at: about 1 hour ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1
biolab/orange3-survival-analysis
🍊 :heavy_plus_sign: Survival Analysis add-on for Orange3 data mining suite.
Language: Python - Size: 3.95 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 4
xmuyzz/HeadNeckCancer-Outcome
A fully-automatic end-to-end outcome prediction platform for oropharyngeal cancer
Language: Python - Size: 68.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
neelsoumya/dsSurvivalClient
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
Language: HTML - Size: 9.32 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 9
neelsoumya/dsSurvival_bookdown
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
Language: TeX - Size: 911 KB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
neelsoumya/dsSurvivalbookdown
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
Language: TeX - Size: 829 KB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
Oncostat/biospear
Biomarker selection in penalized regression models
Language: R - Size: 2.18 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2
tjbencomo/survival-talk-pntlab
Best practices for survival analysis at PNT Lab
Language: HTML - Size: 27.9 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
omariosc/survival-analysis
Survival Analysis with Neural Networks
Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
pippipalma/MAMBA
MAMBA – Multi-pAradigM voxel-Based Analysis: a computational cookbot
Language: MATLAB - Size: 14.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
OrangePomeranian/Survival_Analysis
This project focuces on analysis of survival patients with Aids, with Python library Lifelines
Language: Jupyter Notebook - Size: 129 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
ejeej/Survival_Analysis_Customers_Churn
Predicting customers' churn with survival analysis, including time-dependent variables
Language: R - Size: 13.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
MoinDalvs/Survival_Analysis_From_Scratch
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
rivas-lab/multisnpnet-Cox
Multiresponse time-to-event Cox proportional hazards model - CPU
Language: R - Size: 167 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
rivas-lab/multisnpnet-Cox_gpu
Multiresponse time-to-event Cox proportional hazards model - GPU
Language: C++ - Size: 103 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
RRafiee/SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
Language: R - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 2
shawlab-moffitt/PATH-SURVEYOR-Suite
Survival Analysis through the integration of expression data, phenotype data, and clinical data
Language: R - Size: 596 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0
TNO-FL/protocols.cox_regression
TNO PET Lab - Federated Learning (FL) - Protocols - Cox Regression
Language: Python - Size: 43.9 KB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
dbjohnson/minimal-survival
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
Language: Python - Size: 18.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
PiotrTymoszuk/coxExtensions
Extended diagnostic and visualization tools for Cox proportional hazard models in R
Language: R - Size: 98.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
biometrician/coxphw
Weighted Estimation in Cox Regression
Language: R - Size: 1.07 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
busybee21/Predictive-Survival-Analysis
Size: 1.69 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
janbrederecke/analyzeD
R package. Functions for data analysis and reporting in RMarkdown. Fast and flexible.
Language: R - Size: 367 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
neelsoumya/dsCoxClient
Client for Cox functions in DataSHIELD
Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
Tyriek-cloud/Cox-Hazard-Model-Simulation
This is an exploration of synthetically generated data using a classic cox regression model and two gradient boosted models.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
kahmengsoh/Small-Cell-Lung-Cancer-Survival-Analysis
SAS Macro to Produce Frequency Table, Chi-Squared and ANOVA Test, KM Model, Log-Rank Test and Wilcoxon Test, Tukey Multiple Comparison, Cox Model. Team members: Kah Meng Soh, Dr. Lynette Smith, Dr. Sharma Smriti, Dr. Apar Kishor Ganti
Language: SAS - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
georgemelrose/Dummy-HES-APC-Data-Work
Scripts for generating and analysing fake HES-APC NHS England EHR data.
Language: HTML - Size: 1.41 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ShuuheiAlb/ibm-employee-attrition
risk assessment
Language: HTML - Size: 2.96 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
BryanZang/UW-stat437-Project
A short comparison of the optimal survival tree algorithm (Bertsimas et al.) with cox proportional hazards model and other tree method
Language: TeX - Size: 713 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
ucheynna/Electronics_health_records_surv
Use of clinical EHR data and codelists to investigate all-cause mortality between proton pump inhibitor (PPI) and histamine H2-receptor antagonist (H2RA) exposure groups.
Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
chris-kelly/ds_blog
Data Science Blog
Language: HTML - Size: 11.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
mx-eyebrows/Survival-Analysis
Final Project for PHST 683 for M.S. Biostatistics at University of Louisville (Survival Analysis)
Language: R - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sherw98/SurvivalAnalysis_BreastCancer_MSKResearch
Survival Analysis Project on Breast Cancer Patients
Language: R - Size: 4.4 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
jessicaageorge5/radiation_oncology_analysis
[Survival Analytics] Working with Dr. Surbhi Grover MD, MPH evaluating survival outcomes, treatment, and survivorship for a cervical cancer cohort with or without HIV co-infection in Botswana, Africa using methods rooted in statistics.
Language: Jupyter Notebook - Size: 7.18 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 2
zca21/SM-CW
Survival Models coursework - using KM, Cox models as well as graduation methods
Size: 26.4 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
bgonzalezbustamante/quant-methods-elites
Quantitative Methods for Studying Elites: Demonstration for R
Language: R - Size: 731 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
shawlab-moffitt/DRPPM-PATH-SURVEIOR
Survival Analysis through the integration of expression data, phenotype data, and clinical data
Language: R - Size: 392 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
shawlab-moffitt/DRPPM-PATH-SURVEIOR-Pipeline
As part of the DRPPM-PATH-SURVEIOR family, this pipeline aims to identify top pathways and genes that are significant in High-Risk patients
Language: R - Size: 140 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
imnikhilanand/Survival_Analysis_German_Breast_Cancer_Study_Group
The GBSG data set contains patient records of 720 patients with node positive breast cancer; it retains the 686 patients with complete data for the prognostic variables. Here, we have analyzed the survival time of these patients.
Language: R - Size: 1.95 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
allisonaustin/HeartFailureSurvivalAnalysis
Implementing Cox Regression and plotting Kaplan-Meier Fitter to predict survival probabilities based on different features. Data comes from UCI Machine Learning Repository.
Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
philsf-biostat/SAR-2021-008-JB
PrognĂłstico de sobrevida em cativeiro de Tityus bahiensis capturados em Americana/SP
Language: R - Size: 881 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
lslbastos/COVID19_ICU_Changes_Mortality
Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or SĂŁo Luiz)
Language: R - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
rivas-lab/multisnpnet-Cox-tv
Cox models for time-varying covariate in large population-cohorts
Language: Jupyter Notebook - Size: 170 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
rivas-lab/snpnet-Cox-paper
Repo for "Fast Lasso Method for Large-scale and Ultrahigh-dimensional Cox Model with Applications to UK Biobank"
Size: 1.8 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1
lzdh/Survival-Following-Pancreatoduodenectomy-in-England-Perspectives-from-the-HES-Database
This project was in collaboration with University Hospital Birmingham
Language: R - Size: 779 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
