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 31 articles )

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  1. Bordes, Laurent; Chauveau, Didier: Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data (2016)
  2. Commenges, Daniel; Jacqmin-Gadda, Hélène: Dynamical biostatistical models (2016)
  3. Moore, Dirk F.: Applied survival analysis using R (2016)
  4. Reulen, Holger; Kneib, Thomas: Boosting multi-state models (2016)
  5. Zhou, Mai: Empirical likelihood method in survival analysis (2016)
  6. Harrell, Frank E. jun.: Regression modeling strategies. With applications to linear models, logistic regression, and survival analysis (2015)
  7. Chan, Ngai Hang; Chen, Kun; Yau, Chun Yip: On the Bartlett correction of empirical likelihood for Gaussian long-memory time series (2014)
  8. Chen, Feng; Chen, Kani: Case-cohort analysis of clusters of recurrent events (2014)
  9. Dümbgen, Lutz; Rufibach, Kaspar; Schuhmacher, Dominic: Maximum-likelihood estimation of a log-concave density based on censored data (2014)
  10. Horton, Nicholas J.; Toth, Daniell; Phipps, Polly: Adjusting models of ordered multinomial outcomes for nonignorable nonresponse in the occupational employment statistics survey (2014)
  11. Rossell, David; Attolini, Camille Stephan-Otto; Kroiss, Manuel; Stöcker, Almond: Quantifying alternative splicing from paired-end RNA-sequencing data (2014)
  12. Shi, Yue-Yong; Cao, Yong-Xiu; Jiao, Yu-Ling; Liu, Yan-Yan: SICA for Cox’s proportional hazards model with a diverging number of parameters (2014)
  13. Biagini, Francesca; Groll, Andreas; Widenmann, Jan: Intensity-based premium evaluation for unemployment insurance products (2013)
  14. Haller, Bernhard; Schmidt, Georg; Ulm, Kurt: Applying competing risks regression models: an overview (2013)
  15. Holst, Klaus Kähler; Budtz-Jørgensen, Esben: Linear latent variable models: the lava-package (2013)
  16. Schlittgen, Rainer: Regression analyses with R (2013)
  17. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2013)
  18. Beyersmann, Jan; Allignol, Arthur; Schumacher, Martin: Competing risks and multistate models with R (2012)
  19. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)
  20. Cherfi, Mohamed: Dual divergences estimation for censored survival data (2012)

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