msSurv

R package msSurv: Nonparametric Estimation for Multistate Models. Nonparametric estimation for right censored, left truncated time to event data in multistate models.

Keywords for this software

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References in zbMATH (referenced in 7 articles , 1 standard article )

Showing results 1 to 7 of 7.
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  1. Zhang, Haoyuan; Marsh, D. William R.: Multi-state deterioration prediction for infrastructure asset: learning from uncertain data, knowledge and similar groups (2020)
  2. 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
  3. Vanesa Balboa; Jacobo de Uña-Álvarez: Estimation of Transition Probabilities for the Illness-Death Model: Package TP.idm (2018) not zbMATH
  4. Agnieszka Król; Philippe Saint-Pierre: SemiMarkov: An R Package for Parametric Estimation in Multi-State Semi-Markov Models (2015) not zbMATH
  5. de Castro, Mário; Chen, Ming-Hui; Zhang, Yuanye: Bayesian path specific frailty models for multi-state survival data with applications (2015)
  6. Artur Araújo; Luís Meira-Machado; Javier Roca-Pardiñas: TPmsm: Estimation of the Transition Probabilities in 3-State Models (2014) not zbMATH
  7. Nicole Ferguson; Somnath Datta; Guy Brock: msSurv: An R Package for Nonparametric Estimation of Multistate Models (2012) not zbMATH