• 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...