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 41 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. Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)
  9. Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly: Counterfactual: An R Package for Counterfactual Analysis (2016) arXiv
  10. Moore, Dirk F.: Applied survival analysis using R (2016)
  11. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)
  12. Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos: Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets (2016) arXiv
  13. Zhou, Mai: Empirical likelihood method in survival analysis (2016)
  14. Harrell, Frank E. jun.: Regression modeling strategies. With applications to linear models, logistic regression, and survival analysis (2015)
  15. Chan, Ngai Hang; Chen, Kun; Yau, Chun Yip: On the Bartlett correction of empirical likelihood for Gaussian long-memory time series (2014)
  16. Chen, Feng; Chen, Kani: Case-cohort analysis of clusters of recurrent events (2014)
  17. David Robinson: broom: An R Package for Converting Statistical Analysis Objects Into Tidy Data Frames (2014) arXiv
  18. Dimitris Rizopoulos: The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC (2014) arXiv
  19. Dümbgen, Lutz; Rufibach, Kaspar; Schuhmacher, Dominic: Maximum-likelihood estimation of a log-concave density based on censored data (2014)
  20. Horton, Nicholas J.; Toth, Daniell; Phipps, Polly: Adjusting models of ordered multinomial outcomes for nonignorable nonresponse in the occupational employment statistics survey (2014)

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