R package 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:

References in zbMATH (referenced in 55 articles )

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  1. Amélie Anota and Marion Savina and Caroline Bascoul-Mollevi and Franck Bonnetain: QoLR: An R Package for the Longitudinal Analysis of Health-Related Quality of Life in Oncology (2017)
  2. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  3. Balasubramanian Narasimhan and Daniel Rubin and Samuel Gross and Marina Bendersky and Philip Lavori: Software for Distributed Computation on Medical Databases: A Demonstration Project (2017)
  4. 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)
  5. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  6. Haiming Zhou, Timothy Hanson, Jiajia Zhang: spBayesSurv: Fitting Bayesian Spatial Survival Models Using R (2017) arXiv
  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. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017)
  10. Sobel, Michael; Madigan, David; Wang, Wei: Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of Vioxx (2017)
  11. Vanegas, Luis Hernando; Paula, Gilberto A.: Log-symmetric regression models under the presence of non-informative left- or right-censored observations (2017)
  12. Angelopoulos, Nicos; Abdallah, Samer; Giamas, Georgios: Advances in integrative statistics for logic programming (2016)
  13. Bordes, Laurent; Chauveau, Didier: Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data (2016)
  14. Chen, Yu-Chuan; Chen, James J.: Ensemble survival trees for identifying subpopulations in personalized medicine (2016)
  15. Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)
  16. Grafféo, Nathalie; Castell, Fabienne; Belot, Aurélien; Giorgi, Roch: A log-rank-type test to compare net survival distributions (2016)
  17. Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly: Counterfactual: An R Package for Counterfactual Analysis (2016) arXiv
  18. Moore, Dirk F.: Applied survival analysis using R (2016)
  19. 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)
  20. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)

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