• GMRFLib

  • Referenced in 308 articles [sw06641]
  • analysis of longitudinal and survival data, spatio-temporal models, graphical models, and semi-parametric statistics...
  • invGauss

  • Referenced in 132 articles [sw11207]
  • randomized drift) inverse Gaussian distribution to survival data. invGauss fits the (randomized drift) inverse Gaussian ... distribution to survival data. The model is described in Aalen OO, Borgan O, Gjessing...
  • SAS/STAT

  • Referenced in 438 articles [sw18788]
  • analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis...
  • quantreg

  • Referenced in 161 articles [sw04356]
  • several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk...
  • timereg

  • Referenced in 82 articles [sw08068]
  • package timereg: Flexible regression models for survival data. Programs for Martinussen and Scheike (2006), ‘Dynamic ... Regression Models for Survival Data’, Springer Verlag. Plus more recent developments. Additive survival model, semiparametric...
  • p3state.msm

  • Referenced in 12 articles [sw04377]
  • package p3state.msm: Analyzing survival data , Analyzing survival data from illness-death model...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • regarding time series, cross-design data, longitudinal studies, survival analysis and spatial regression...
  • parfm

  • Referenced in 12 articles [sw19053]
  • account for overdispersion and/or clustering in survival data. When the form of the baseline hazard...
  • STJM

  • Referenced in 8 articles [sw19776]
  • parameter joint models of longitudinal and survival data. stjm fits shared parameter joint models ... longitudinal and survival data using maximum likelihood. A single continuous longitudinal response and a single...
  • ranger

  • Referenced in 42 articles [sw14498]
  • forests for high dimensional data. Ensembles of classification, regression and survival trees are supported ... efficient implementation of random forests to analyze data on the scale of a genome-wide...
  • survsim

  • Referenced in 7 articles [sw19052]
  • survsim: Simulation of Simple and Complex Survival Data. Simulation of simple and complex survival data...
  • KMsurv

  • Referenced in 10 articles [sw15343]
  • sets from Klein and Moeschberger (1997), Survival Analysis. Data sets and functions for Klein ... Moeschberger (1997), ”Survival Analysis, Techniques for Censored and Truncated Data”, Springer...
  • spBayesSurv

  • Referenced in 9 articles [sw16371]
  • several Bayesian survival models for spatial/non-spatial survival data: marginal Bayesian Nonparametric models, marginal Bayesian proportional...
  • tdc.msm

  • Referenced in 6 articles [sw22607]
  • analysis of multi-state survival data. The aim of this paper is to present ... tdc.msm, developed to analyze multi-state survival data. In this library, the time-dependent regression ... included as two possible approaches for such data. For the multi-state modelling five different ... terminal event of interest. Graphical output includes survival estimates, transition probabilities estimates and smooth...
  • SVRc

  • Referenced in 5 articles [sw40646]
  • vector regression for censored data (SVRc): A novel tool for survival analysis. A crucial challenge ... predictive modeling for survival analysis is managing censored observations in the data. The Cox proportional ... analysis of continuous censored survival data. We propose a novel machine learning algorithm, support vector ... SVRc) for improved analysis of medical survival data. SVRc leverages the high-dimensional capabilities...
  • DeepSurv

  • Referenced in 7 articles [sw41011]
  • training DeepSurv on simulated and real survival data. We demonstrate that DeepSurv performs as well ... better than other state-of-the-art survival models and validate that DeepSurv successfully models...
  • JMfit

  • Referenced in 4 articles [sw14766]
  • Joint models of longitudinal and survival data. Joint models for longitudinal and survival data ... longitudinal component and the survival component of the model separately as well ... contribution of the longitudinal data to the fit of the survival model. To fulfill this ... Shen (2014). Examples with real and simulated data are provided to illustrate...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • kernel spectral clustering, data visualization and dimensionality reduction, and survival analysis. For very large scale...
  • survivalROC

  • Referenced in 4 articles [sw24287]
  • dependent ROC curve estimation from censored survival data. Compute time-dependent ROC curve from censored ... survival data using Kaplan-Meier (KM) or Nearest Neighbor Estimation (NNE) method of Heagerty, Lumley...