• cmprsk

  • Referenced in 118 articles [sw11073]
  • package cmprsk: Subdistribution Analysis of Competing Risks. Estimation, testing and regression modeling of subdistribution functions ... competing risks, as described in Gray (1988), A class of K-sample tests for comparing ... cumulative incidence of a competing risk, Ann. Stat. 16:1141-1154, and Fine ... model for the subdistribution of a competing risk, JASA...
  • timereg

  • Referenced in 70 articles [sw08068]
  • excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty...
  • mstate

  • Referenced in 27 articles [sw04376]
  • with Aalen-Johansen or simulation in competing risks and multi-state models...
  • cmprskQR

  • Referenced in 15 articles [sw11076]
  • cmprskQR: Analysis of Competing Risks Using Quantile Regressions. Estimation, testing and regression modeling of subdistribution ... functions in competing risks using quantile regressions, as described in Peng and Fine ... Competing risks quantile regression, JASA...
  • CoxBoost

  • Referenced in 6 articles [sw10906]
  • single survival endpoint or competing risks. This package provides routines for fitting Cox models ... single endpoint or in presence of competing risks...
  • pseudosurv

  • Referenced in 8 articles [sw29281]
  • cumulative incidence function for competing risks data...
  • survsim

  • Referenced in 6 articles [sw19052]
  • including recurrent and multiple events and competing risks...
  • pec

  • Referenced in 5 articles [sw15816]
  • predictions obtained from survival models and competing risk models based on censored data using inverse...
  • MLEcens

  • Referenced in 5 articles [sw25116]
  • cosmesis’), and for censored data with competing risks (see data set ’menopause’). We also provide...
  • ACSSCode

  • Referenced in 5 articles [sw26233]
  • tumor of interest when competing risks are present. The tumors of interest typically are occult...
  • MIICD

  • Referenced in 4 articles [sw17902]
  • distribution hazards regression for interval censored competing risks data. The main functions allow to estimate...
  • crrp

  • Referenced in 2 articles [sw28755]
  • package crrp: Penalized Variable Selection in Competing Risks Regression. In competing risks regression, the proportional...
  • riskRegression

  • Referenced in 2 articles [sw19175]
  • Prediction Scores for Survival Analysis with Competing Risks. Implementation of the following methods for event ... endpoints also in the presence of competing risks are fitted using binomial regression based...
  • SemiCompRisks

  • Referenced in 2 articles [sw18177]
  • Semi-Parametric Analyses of Semi-Competing Risks Data. Parametric and semi-parametric analyses of semi ... competing risks/univariate survival data. For semi-competing risks data, the package contains implementations of hierarchical...
  • crrstep

  • Referenced in 2 articles [sw28754]
  • Covariate Selection for the Fine & Gray Competing Risks Regression Model. Performs forward and backwards stepwise ... Proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses...
  • crrSC

  • Referenced in 3 articles [sw25656]
  • package crrSC: Competing risks regression for Stratified and Clustered data. Extension of cmprsk to Stratified...
  • fastcmprsk

  • Referenced in 1 article [sw28753]
  • Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk. Advancements ... biomedical data routinely accessible to researchers. Competing risks data are typical in biomedical studies where ... popular and well-appreciated model for competing risks data and is currently implemented ... computationally scalable for large-scale competing risks data. We have developed an R package, fastcmprsk...
  • NPMLEcmprsk

  • Referenced in 1 article [sw29206]
  • Failure Rate and Hazard Rate on Competing Risks Data. Given a failure type, the function ... rate based on possibly right-censored competing risk data. Specifically, it computes the non-parametric ... semi-parametric mixture model for competing-risks data, as described in Chang et al. (2007a...
  • pseudo

  • Referenced in 2 articles [sw29209]
  • regression. Computes pseudo-observations for modeling: competing risks based on the cumulative incidence function, survival...