survival

survival: Survival analysis, including penalised likelihood , survival analysis: descriptive statistics, two-sample tests, parametric accelerated failure models, Cox model. Delayed entry (truncation) allowed for all models; interval censoring for parametric models. Case-cohort designs. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 47 articles )

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  1. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  2. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  3. Haiming Zhou, Timothy Hanson, Jiajia Zhang: spBayesSurv: Fitting Bayesian Spatial Survival Models Using R (2017) arXiv
  4. John V. Monaco, Malka Gorfine, Li Hsu: General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv (2017) arXiv
  5. Lee, Youngjo; Ronnegård, Lars; Noh, Maengseok: Data analysis using hierarchical generalized linear models with R (2017)
  6. Angelopoulos, Nicos; Abdallah, Samer; Giamas, Georgios: Advances in integrative statistics for logic programming (2016)
  7. Bordes, Laurent; Chauveau, Didier: Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data (2016)
  8. Chen, Yu-Chuan; Chen, James J.: Ensemble survival trees for identifying subpopulations in personalized medicine (2016)
  9. Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)
  10. Grafféo, Nathalie; Castell, Fabienne; Belot, Aurélien; Giorgi, Roch: A log-rank-type test to compare net survival distributions (2016)
  11. Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly: Counterfactual: An R Package for Counterfactual Analysis (2016) arXiv
  12. Moore, Dirk F.: Applied survival analysis using R (2016)
  13. Oliveira, Jocel^anio W.; Valença, Dione M.; Medeiros, Pledson G.; Marçula, Magaly: Risk-adjusted monitoring of time to event in the presence of long-term survivors (2016)
  14. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)
  15. Shaby, Benjamin A.; Skibinski, Gaia; Ando, Michael; Ladow, Eva S.; Finkbeiner, Steven: A three-groups model for high-throughput survival screens (2016)
  16. Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos: Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets (2016) arXiv
  17. Zhou, Mai: Empirical likelihood method in survival analysis (2016)
  18. Harrell, Frank E. jun.: Regression modeling strategies. With applications to linear models, logistic regression, and survival analysis (2015)
  19. Mangili, Francesca; Benavoli, Alessio; de Campos, Cassio P.; Zaffalon, Marco: Reliable survival analysis based on the Dirichlet process (2015)
  20. Chan, Ngai Hang; Chen, Kun; Yau, Chun Yip: On the Bartlett correction of empirical likelihood for Gaussian long-memory time series (2014)

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