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  • JM
  • Referenced in 45 articles [sw10494]
  • joint modelling of longitudinal and time-to-event data. In longitudinal studies measurements are often ... condition under study) and the time at which an event of particular interest occurs ... joint models for longitudinal and time-to-event data...

  • JMbayes
  • Referenced in 12 articles [sw19775]
  • Joint Models for Longitudinal and Time-to-Event Data using MCMC. Joint models for longitudinal ... time-to-event data constitute an attractive modeling framework that has received...

  • joineR
  • Referenced in 9 articles [sw19777]
  • Modelling of Repeated Measurements and Time-to-Event Data. Analysis of repeated measurements and time...

  • flexsurv
  • Referenced in 14 articles [sw15470]
  • Models. Flexible parametric models for time-to-event data, including the Royston-Parmar spline model...

  • joineRML
  • Referenced in 4 articles [sw19419]
  • Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. Fits the joint model ... multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional...

  • survAUC
  • Referenced in 2 articles [sw22351]
  • Estimators of prediction accuracy for time-to-event data. The package provides a variety...

  • pammtools
  • Referenced in 2 articles [sw34835]
  • analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models...

  • Simulx
  • Referenced in 1 article [sw09386]
  • including continuous, count, categorical, and time-to-event data. simulx is also extremely flexible...

  • ICBayes
  • Referenced in 1 article [sw26412]
  • ICBayes: Bayesian Semiparametric Models for Interval-Censored Data. Contains functions to fit Bayesian semiparametric regression ... probit model) to interval-censored time-to-event data...

  • threg
  • Referenced in 1 article [sw24152]
  • applications involving survival and time-to-event data...

  • EEBoost
  • Referenced in 1 article [sw26353]
  • fail to capture important aspects of the data generating process such as missingness, correlation ... examples with correlated outcomes and time-to-event data with missing covariates. In both cases...

  • PAmeasures
  • Referenced in 1 article [sw31556]
  • Models and for Right-Censored Time-to-Event Data. We propose a pair of summary...

  • stthreg
  • Referenced in 2 articles [sw14641]
  • suited to applications involving time-to-event and survival data. The threshold regression model serves...

  • JM SAS
  • Referenced in 1 article [sw25032]
  • Generalized Mixed Models for Longitudinal Data and Time-to-Event Responses...

  • stremr
  • Referenced in 0 articles [sw18479]
  • Analysis of longitudinal time-to-event or time-to-failure data. Estimates the counterfactual discrete...

  • pycox
  • Referenced in 1 article [sw33183]
  • regression. New methods for time-to-event prediction are proposed by extending the Cox proportional ... loss function that scales well to large data sets and enables fitting of both proportional...

  • NParCov3
  • Referenced in 2 articles [sw24139]
  • continuous, binary, ordinal, incidence density or time-to-event. Further, its use has been illustrated ... outcomes and can account for stratification. Data from multiple clinical trials will be used...

  • R
  • Referenced in 8359 articles [sw00771]
  • R is a language and environment for statistical...