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41 public repositories
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Survival analysis in Python
Updated
Mar 16, 2022
Python
COX Proportional risk model and survival analysis implemented by tensorflow.
Updated
Mar 5, 2021
Python
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
geneSurv: an interactive web-based tool for survival analysis in genomics research
Updated
Mar 17, 2020
HTML
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
Updated
Jul 13, 2020
Python
Survival analysis utility functions using functional programming principals
snpnet - Efficient Lasso Solver for Large-scale genetic variant data
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
R script for calculating cox proportional hazard models for the association between polyphenols and cancer risk in EPIC cohort
Efron Approximation in TensorFlow
Updated
Mar 21, 2018
Python
Biomarker selection in penalized regression models
Best practices for survival analysis at PNT Lab
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
This repository contains a software based on Cox Proportional Hazard Models for Regression Analysis of Primary Biliary Cirrhosis
Updated
Oct 16, 2020
HTML
Weighted Estimation in Cox Regression
psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets
Multiresponse time-to-event Cox proportional hazards model - CPU
Client for Cox functions in DataSHIELD
Survival modelling using Cox proportional hazard regression model
Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance' (manuscript in preparation)
Ejemplos y guias practicas de estadistica- anova,lm,glm, multinom, survival
Multiresponse time-to-event Cox proportional hazards model - GPU
Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
Research Major Osteoporotic Fracture: risk calculator
Prognóstico de sobrevida em cativeiro de Tityus bahiensis capturados em Americana/SP
Predicting customers' churn with survival analysis, including time-dependent variables
Updated
Jan 12, 2022
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There's a bug when we try to specify
formula_time = ~1infitSmoothHazard.fit. This would happen, for example, if we assumed an exponential hazard.