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crrSC

R package crrSC: Competing risks regression for Stratified and Clustered data. Extension of cmprsk to Stratified and Clustered data. Goodness of fit test for Fine-Gray model.

Keywords for this software

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  • competing risks
  • sleep-disordered breathing
  • survival analysis
  • random effect
  • Fine-Gray model
  • Poisson regression
  • semi-parametric modeling
  • R package
  • arXiv_publication
  • time-to-event data
  • large-scale data
  • frailty model
  • R
  • arXiv_stat.CO
  • scalable computing
  • stratified
  • multi-state
  • recurrent event
  • inverse-censoring probability
  • h-likelihood

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Bingqing Zhou; Aurelien Latouche
  • Dependencies: Matlab

  • Add information on this software.


  • Related software:
  • R
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  • DeepSurv
  • frailtypack
  • addreg
  • fastcmprsk
  • crrstep
  • crrp
  • riskRegression
  • phmm
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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. Ha, Il Do; Lee, Youngjo: A review of h-likelihood for survival analysis (2021)
  2. Eric S Kawaguchi, Jenny I Shen, Gang Li, Marc A Suchard: A Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk (2019) arXiv
  3. Ha, Il Do; Jeong, Jong-Hyeon; Lee, Youngjo: Statistical modelling of survival data with random effects. H-likelihood approach (2017)
  4. Swihart, Bruce J.; Punjabi, Naresh M.; Crainiceanu, Ciprian M.: Modeling sleep fragmentation in sleep hypnograms: an instance of fast, scalable discrete-state, discrete-time analyses (2015)

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