References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
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. Moriña, D.; Navarro, A.: Competing risks simulation with the survsim R package (2017)
  5. Christopher Jackson: flexsurv: A Platform for Parametric Survival Modeling in R (2016)
  6. Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)
  7. Moore, Dirk F.: Applied survival analysis using R (2016)
  8. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)
  9. Agnieszka Król; Philippe Saint-Pierre: SemiMarkov: An R Package for Parametric Estimation in Multi-State Semi-Markov Models (2015)
  10. de Castro, Mário; Chen, Ming-Hui; Zhang, Yuanye: Bayesian path specific frailty models for multi-state survival data with applications (2015)
  11. Nello Blaser; Luisa Vizcaya; Janne Estill; Cindy Zahnd; Bindu Kalesan; Matthias Egger; Thomas Gsponer; Olivia Keiser: gems: An R Package for Simulating from Disease Progression Models (2015)
  12. Titman, Andrew C.: Transition probability estimates for non-Markov multi-state models (2015)
  13. Biagini, Francesca; Groll, Andreas; Widenmann, Jan: Intensity-based premium evaluation for unemployment insurance products (2013)
  14. Beyersmann, Jan; Allignol, Arthur; Schumacher, Martin: Competing risks and multistate models with R (2012)
  15. Nicole Ferguson; Somnath Datta; Guy Brock: msSurv: An R Package for Nonparametric Estimation of Multistate Models (2012)
  16. Hein Putter: Special Issue about Competing Risks and Multi-State Models (2011)