frailtypack

frailtypack: General Frailty models using a semi_parametric penalized likelihood estimation or a parametric estimation , Frailtypack now fits several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation. 1) A shared gamma frailty model and Cox proportional hazard model. Clustered and recurrent survival times can be studied (the Andersen-Gill(1982) approach has been implemented for recurrent events). An automatic choice of the smoothing parameter is possible using an approximated cross-validation procedure. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of joint modelling for recurrent events with terminal event for clustered data or not. Prediction values are available. Left truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata (max=2) are allowed. The package includes concordance measures for Cox proportional hazards models and for shared frailty models. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 31 articles , 2 standard articles )

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  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. Han, Miao; Sun, Liuquan; Liu, Yutao; Zhu, Jun: Joint analysis of recurrent event data with additive-multiplicative hazards model for the terminal event time (2018)
  3. John Monaco; Malka Gorfine; Li Hsu: General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv (2018)
  4. Peter Calhoun; Xiaogang Su;Martha Nunn; Juanjuan Fan: Constructing Multivariate Survival Trees: The MST Package for R (2018)
  5. Agnieszka Król; Audrey Mauguen; Yassin Mazroui; Alexandre Laurent; Stefan Michiels; Virginie Rondeau: Tutorial in Joint Modeling and Prediction: A Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event (2017)
  6. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  7. John V. Monaco, Malka Gorfine, Li Hsu: General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv (2017) arXiv
  8. Lee, Youngjo; Ronnegård, Lars; Noh, Maengseok: Data analysis using hierarchical generalized linear models with R (2017)
  9. Bedair, Khaled; Hong, Yili; Li, Jie; Al-Khalidi, Hussein R.: Multivariate frailty models for multi-type recurrent event data and its application to cancer prevention trial (2016)
  10. Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)
  11. Elghafghuf, Adel; Stryhn, Henrik: Correlated versus uncorrelated frailty Cox models: a comparison of different estimation procedures (2016)
  12. Haugen, Marion; Moger, Tron Anders: Frailty modelling of time-to-lapse of single policies for customers holding multiple car contracts (2016)
  13. Król, Agnieszka; Ferrer, Loïc; Pignon, Jean-Pierre; Proust-Lima, Cécile; Ducreux, Michel; Bouché, Olivier; Michiels, Stefan; Rondeau, Virginie: Joint model for left-censored longitudinal data, recurrent events and terminal event: predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000--05 trial (2016)
  14. Mazroui, Yassin; Mauguen, Audrey; Mathoulin-Pélissier, Simone; MacGrogan, Gaetan; Brouste, Véronique; Rondeau, Virginie: Time-varying coefficients in a multivariate frailty model: application to breast cancer recurrences of several types and death (2016)
  15. Wen, Chi-Chung; Chen, Yi-Hau: Joint analysis of current count and current status data (2016)
  16. Chen, Chyong-Mei; Chuang, Ya-Wen; Shen, Pao-Sheng: Two-stage estimation for multivariate recurrent event data with a dependent terminal event (2015)
  17. Efendi, Achmad; Molenberghs, Geert; Iddi, Samuel: A marginalized combined gamma frailty and normal random-effects model for repeated, overdispersed, time-to-event outcomes (2014)
  18. Mazroui, Yassin; Mathoulin-Pélissier, Simone; MacGrogan, Gaetan; Brouste, Véronique; Rondeau, Virginie: Multivariate frailty models for two types of recurrent events with a dependent terminal event: Application to breast cancer data (2013)
  19. Marco Munda; Federico Rotolo; Catherine Legrand: parfm: Parametric Frailty Models in R (2012)
  20. Pénichoux, Juliette; Moreau, Thierry; Meyer, Laurence; Boufassa, Faroudy; Huber, Catherine; Latouche, Aurélien: Testing independence between two sequential gap times in the presence of covariates (2012)

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