p3state.msm

R package p3state.msm: Analyzing survival data , Analyzing survival data from illness-death model (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 10 articles , 1 standard article )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Danilo Alvares, Sebastien Haneuse, Catherine Lee, Kyu Ha Lee: SemiCompRisks: An R Package for Independent and Cluster-Correlated Analyses of Semi-Competing Risks Data (2018) arXiv
  2. Vanesa Balboa; Jacobo de Uña-Álvarez: Estimation of Transition Probabilities for the Illness-Death Model: Package TP.idm (2018)
  3. Célia Touraine and Thomas Gerds and Pierre Joly: SmoothHazard: An R Package for Fitting Regression Models to Interval-Censored Observations of Illness-Death Models (2017)
  4. Agnieszka Król; Philippe Saint-Pierre: SemiMarkov: An R Package for Parametric Estimation in Multi-State Semi-Markov Models (2015)
  5. Meira-Machado, Luís; de Uña-Álvarez, Jacobo; Datta, Somnath: Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model (2015)
  6. Artur Araújo; Luís Meira-Machado; Javier Roca-Pardiñas: TPmsm: Estimation of the Transition Probabilities in 3-State Models (2014)
  7. Beyersmann, Jan; Allignol, Arthur; Schumacher, Martin: Competing risks and multistate models with R (2012)
  8. Nicole Ferguson; Somnath Datta; Guy Brock: msSurv: An R Package for Nonparametric Estimation of Multistate Models (2012)
  9. Hein Putter: Special Issue about Competing Risks and Multi-State Models (2011)
  10. Luís Machado; Javier Roca-Pardiñas: p3state.msm: Analyzing Survival Data from an Illness-Death Model (2011)