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 128 articles )

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  1. Alireza S. Mahani; Mansour T.A. Sharabiani: Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC (2019) not zbMATH
  2. Di Caterina, Claudia; Cortese, Giuliana; Sartori, Nicola: Monte Carlo modified profile likelihood in models for clustered data (2019)
  3. Dobler, Dennis: Bootstrapping the Kaplan-Meier estimator on the whole line (2019)
  4. Theodor Balan; Hein Putter: frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models (2019) not zbMATH
  5. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  6. Chenguang Wang; Thomas Louis; Nicholas Henderson; Carlos Weiss; Ravi Varadhan: beanz: An R Package for Bayesian Analysis of Heterogeneous Treatment Effects with a Graphical User Interface (2018) not zbMATH
  7. Chiou, Sy Han; Qian, Jing; Mormino, Elizabeth; Betensky, Rebecca A.: Permutation tests for general dependent truncation (2018)
  8. Daniela Dunkler; Meinhard Ploner; Michael Schemper; Georg Heinze: Weighted Cox Regression Using the R Package coxphw (2018) not zbMATH
  9. Dean, Natalie E.; Halloran, M. Elizabeth; Longini, Ira M.: Design of vaccine trials during outbreaks with and without a delayed vaccination comparator (2018)
  10. Diego Saldana; Yang Feng: SIS: An R Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models (2018) not zbMATH
  11. Efromovich, Sam: Missing and modified data in nonparametric estimation: with R examples (2018)
  12. Hajage, David; Chauvet, Guillaume; Belin, Lisa; Lafourcade, Alexandre; Tubach, Florence; De Rycke, Yann: Closed-form variance estimator for weighted propensity score estimators with survival outcome (2018)
  13. Higueras, Manuel; Howes, Adam: Poisson excess relative risk models: new implementations and software (2018)
  14. John Monaco; Malka Gorfine; Li Hsu: General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv (2018) not zbMATH
  15. Mandel, Micha; De Uña-Álvarez, Jacobo; Simon, David K.; Betensky, Rebecca A.: Inverse probability weighted Cox regression for doubly truncated data (2018)
  16. Peter Calhoun; Xiaogang Su;Martha Nunn; Juanjuan Fan: Constructing Multivariate Survival Trees: The MST Package for R (2018) not zbMATH
  17. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  18. Vanesa Balboa; Jacobo de Uña-Álvarez: Estimation of Transition Probabilities for the Illness-Death Model: Package TP.idm (2018) not zbMATH
  19. Xin, Xin; Horrocks, Julie; Darlington, Gerarda A.: Weighting methods for ties between event times and covariate change times (2018)
  20. 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) not zbMATH

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