Topic: survival-models Goto Github
Some thing interesting about survival-models
Some thing interesting about survival-models
survival-models,A general model for the joint analysis of multivariate longitudinal data and survival time
User: alexwky
survival-models,MachineShop: R package of models and tools for machine learning
User: brian-j-smith
Home Page: https://brian-j-smith.github.io/MachineShop/
survival-models,Image-based Survival Modeling on simulated data
User: bydmitry
survival-models,SCOR Datathon in 2020. Acquired and processed open data, predicted level of Glycohemoglobin, Cholesterol and probability of diabetes, then identified the probability change with Random Survival Forest to suggest improvements to a user.
User: cnai-ds
survival-models,In this work I tested if there was an improvement in performance in the use of different survival models.
User: diegovallarino
survival-models,Extended Joint Models for Longitudinal and Survival Data
User: drizopoulos
Home Page: https://drizopoulos.github.io/JMbayes2/
survival-models,Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
User: giabaio
Home Page: https://gianluca.statistica.it/software/survhe/
survival-models,Supplementary material for the paper: A review on competing risks methods for survival analysis
User: karlamonterrubiog
survival-models,Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
User: neelsoumya
Home Page: https://neelsoumya.github.io/dsSurvivalbookdown/
survival-models,A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
User: neelsoumya
Home Page: https://neelsoumya.github.io/dsSurvival_bookdown
survival-models,A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
User: neelsoumya
Home Page: https://neelsoumya.github.io/dsSurvivalbookdown/
survival-models,Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.
User: neelsoumya
Home Page: https://neelsoumya.github.io/dsSurvivalbookdown/
survival-models,A repository of code and resources for survival models
User: neelsoumya
survival-models,Survival Analysis VS Machine Learning.
User: niangmohamed
Home Page: https://github.com/Niangmohamed/Survival-Analysis-Vs-Machine-Learning
survival-models,This repository holds the source materials used for a working group/symposium on capture-recapture models and social networks, and an introduction to capture-recapture models in nimble to estimate demographic parameters.
User: oliviergimenez
Home Page: https://oliviergimenez.github.io/NETDEM-workshop-survival-nimble/
survival-models,Survival Analysis of Lung Cancer Patients
User: pegah-ardehkhani
survival-models,Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
User: shalabh147
survival-models,Identified the drivers of the risk of coronary heart disease and cardiovascular disease using the Sleep Heart Health Study dataset
User: sxtforreal
survival-models,Survival Studio - a tool for automatic and interactive exploration of complex survival models. The project is carried out as part of the master's thesis supervised by Przemyslaw Biecek.
User: wiese-m
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