• JM

  • Referenced in 57 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 ... fits joint models for longitudinal and time-to-event data...
  • JMbayes

  • Referenced in 18 articles [sw19775]
  • Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC. Joint models ... longitudinal and time-to-event data constitute an attractive modeling framework that has received...
  • flexsurv

  • Referenced in 20 articles [sw15470]
  • State Models. Flexible parametric models for time-to-event data, including the Royston-Parmar spline...
  • joineR

  • Referenced in 11 articles [sw19777]
  • Joint Modelling of Repeated Measurements and Time-to-Event Data. Analysis of repeated measurements ... time-to-event data via random effects joint models. Some plotting functions and the variogram...
  • joineRML

  • Referenced in 6 articles [sw19419]
  • Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. Fits the joint model proposed ... multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional...
  • BART

  • Referenced in 7 articles [sw32161]
  • covariates for continuous, binary, categorical and time-to-event outcomes. For more information on BART...
  • pycox

  • Referenced in 3 articles [sw33183]
  • Time-to-event prediction with neural networks and Cox regression. New methods for time...
  • TreeAge

  • Referenced in 4 articles [sw19803]
  • patient-level simulation (Microsimulation) models and time-to-event (DES) models using a consistent...
  • RARtool

  • Referenced in 2 articles [sw23872]
  • Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes. Response-adaptive randomization designs ... randomized comparative clinical trials with censored time-to-event outcomes. The RARtool software can compute...
  • stthreg

  • Referenced in 2 articles [sw14641]
  • Threshold regression for time-to-event analysis: The stthreg package. In this article, we introduce ... which is based on the first hitting time of a boundary by the sample path ... well suited to applications involving time-to-event and survival data. The threshold regression model...
  • scikit-survival

  • Referenced in 3 articles [sw37193]
  • survival analysis (also referred to as time-to-event or reliability analysis) is to establish...
  • PyDTS

  • Referenced in 1 article [sw41822]
  • Time Survival Analysis with Competing Risks. Time-to-event analysis (survival analysis) is used when ... time until a pre-specified event occurs. Time-to-event data are sometimes discrete either...
  • JointModel

  • Referenced in 2 articles [sw38473]
  • semiparametric transformation model for time-to-event data...
  • ICBayes

  • Referenced in 2 articles [sw26412]
  • probit model) to interval-censored time-to-event data...
  • survAUC

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

  • Referenced in 2 articles [sw37928]
  • Bayesian survival analysis for right censored time-to-event data. The main function, BayesSurv(), computes...
  • NParCov3

  • Referenced in 2 articles [sw24139]
  • continuous, binary, ordinal, incidence density or time-to-event. Further, its use has been illustrated...
  • pammtools

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

  • Referenced in 2 articles [sw34074]
  • Gaussian, Poisson, beta, negative-binomial, and time-to-event/survival models include the exponential, Gompertz...