competing-risks

There are 0 repository under competing-risks topic.

• drizopoulos / JMbayes2

  Extended Joint Models for Longitudinal and Survival Data

  mixed-modelslongitudinal-analysissurvival-modelsmulti-statecompeting-risksprediction-modelpersonalized-medicineprecision-medicine
  Language:R 71

• einatboro / awesome-survival-analysis

  Resources for Survival Analysis

  competing-riskscox-regressionkaplan-meier-plotproportional-hazards-modelssurvival-analysistime-dependent-covariatestime-to-event-prediction
  35

• soda-inria / hazardous

  Competing Risks and Survival Analysis

  competing-risksdata-sciencegradient-boostingmachine-learningsurvival-analysis
  Language:Python 30

• survival-lumc / ValidationCompRisks

  Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (published in BMJ)

  competing-riskspredictionmodel-validation
  Language:R 23
• fife

  IDA-HumanCapital / fife

  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

  machine-learningsurvival-analysisforecastingtime-series-analysisforecasting-modelscompeting-risksmultivariate-time-seriestime-to-eventpanel-analysis
  Language:Python 22

• MSKCC-Epi-Bio / tidycmprsk

  rr-packagecompeting-risks
  Language:R 21

• benkeser / survtmle

  Targeted Learning for Survival Analysis

  survival-analysistmlecompeting-risksensemble-learning
  Language:R 19

• graemeleehickey / joineR

  R package for fitting joint models to time-to-event and longitudinal data

  statisicsstatistical-methodslongitudinal-datasurvival-analysisrbiostatisticsjoinersurvivalcoxrepeated-measurescompeting-riskstime-to-eventrepeated-measurementsr-package
  Language:R 16

• sahirbhatnagar / casebase

  survival-analysiscox-regressioncompeting-risksrregression-models
  Language:R 9

• graemeleehickey / comprisk

  Comparison of joint models for competing risks and longitudinal data

  competing-risksjoint-modelslongitudinal-datacomparisonrcepilepsywinbugs
  Language:C 8

• KarlaMonterrubioG / CompRisksVignettes

  Supplementary material for the paper: A review on competing risks methods for survival analysis

  competing-riskssurvival-modelssurvival-analysistime-to-eventbiostatisticsr-packagesstatistical-modelscox-reevent-modelingfine-gray-model
  Language:JavaScript 5

• survival-lumc / FG-TotalFailureProbability

  Code and results of Section 4 of the paper "Fine-Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: cumulative total failure probability may exceed 1", by Peter Austin, Ewout Steyerberg & Hein Putter

  competing-risksfine-gray-model
  Language:R 4

• 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)

  competing-risksmultiple-imputationmissing-datacox-modelmice
  Language:R 2

• survival-lumc / ImmuneReconstJM

  Code and supplementary materials for the manuscript "Joint models quantify associations between T-cell kinetics and allo-immunological events after allogeneic stem cell transplantation and subsequent donor lymphocyte infusion" (2023, Frontiers in Immunology)

  competing-riskshaematologyjoint-models
  Language:TeX 2

• RedDoorAnalytics / survsim

  Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models in Stata

  competing-riskshealth-economicsmicrosimulationmultistatesimulationstatasurvival-analysis
  Language:Stata 1

• survival-lumc / FineGrayDGM

  Code accompanying the manuscript "Why you should avoid using multiple Fine–Gray models: insights from (attempts at) simulating proportional subdistribution hazards data" (under review)

  competing-riskscumulative-incidencedata-generationfine-gray-model
  Language:R 1

• bernaoney / AC_OneyFlores_2019

  Replication syntax for Öney Flores 2019

  survival-analysiscross-country-comparisonscompeting-riskstime-to-eventevent-modelingcox-regressionmarkov-transition-modelsdemocratizationauthoritarianisminternet-usagemobilization
  Language:Stata 0

• jordache-ramjith / Andolina2022

  This repository includes the R code and data used in the analysis for the main manuscript of the paper. The cleaned data file consists of the data for only the 104 incident infections used. The ped.RDS file is an R data file for the piece-wise exponential data formulation of the survival data for the competing risks analysis. The descriptives file consists of all descriptive analyses conducted in the study whether included or not. The gametocyte incidence file consists of the R code for the competing risks analysis for gametocyte incidence and malaria clearance. The Clearance Kaplan-Meier is the file used to capture the Kaplan-Meier of the time to clearance of parasites (Table 2). The parasite density, gametocyte density, gametocyte fraction file are the R codes for the longitudinal non-linear mixed effects models and should be executed in that order. .

  competing-risksmalariamixed-effects-modelsnon-linear-modelsurvivalgametocytemia
  Language:R 0

• sgaure / durmod

  Mixed proportional hazard competing risk model with the NPMLE

  rdurationmixture-modelnpmlecompeting-risks
  Language:R 0

• tengfei-emory / timeregLC

  A Time-Dependent Structural Model Between Latent Classes and Competing Risks Outcomes

  latent-class-analysiscompeting-risks
  Language:R 0

• benkeser / sievetrend

  Tests for trends in vaccine efficacy by genetic distance

  competing-riskshamming-distancesieve-analysistmlevaccines
  Language:R

• youjin1207 / cmpriskProfile

  Code/Data/Figure for "Facility profiling under competing risks using multivariate prognostic scores weighting"

  competing-risksprognostic-scoretemplate-matchingkidney-transplantation
  Language:R