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 201 articles )

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  1. Combes, Catherine; Ng, Hon Keung Tony: On parameter estimation for amoroso family of distributions (2022)
  2. Giurcanu, Mihai C.; Karrison, Theodore G.: Nonparametric inference in the accelerated failure time model using restricted means (2022)
  3. Jie Zhou, Jiajia Zhang, Wenbin Lu: TransModel: An R Package for Linear Transformation Model with Censored Data (2022) not zbMATH
  4. Murray, James; Philipson, Pete: A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data (2022)
  5. Pan, Chun; Cai, Bo; Wang, Lianming; Lin, Xiaoyan: ICBayes: a package of Bayesian semiparametric regression for intervel-censored data (2022)
  6. Rui J. Costa, Moritz Gerstung: The R package ebmstate for disease progression analysis under empirical Bayes Cox models (2022) arXiv
  7. Sachs, M. C.; Gabriel, E. E.: Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R (2022) not zbMATH
  8. Wu, Wenbo; Taylor, Jeremy M. G.; Brouwer, Andrew F.; Luo, Lingfeng; Kang, Jian; Jiang, Hui; He, Kevin: Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients (2022)
  9. Benjamin Christoffersen: dynamichazard: Dynamic Hazard Models Using State Space Models (2021) not zbMATH
  10. Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström: Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types (2021) arXiv
  11. Bivand, Roger S.; Gómez-Rubio, Virgilio: Spatial survival modelling of business re-opening after Katrina: survival modelling compared to spatial probit modelling of re-opening within 3, 6 or 12 months (2021)
  12. Cahoon, Joyce; Martin, Ryan: Generalized inferential models for censored data (2021)
  13. Erler, N. S., Rizopoulos, D., Lesaffre, E. M. E. H.: JointAI: Joint Analysis and Imputation of Incomplete Data in R (2021) not zbMATH
  14. Hadrien Charvat, Aurelien Belot: mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect (2021) not zbMATH
  15. Hong Zhang, Qing Li, Devan V. Mehrotra, Judong Shen: CauchyCP: a powerful test under non-proportional hazards using Cauchy combination of change-point Cox regressions (2021) arXiv
  16. Jared D. Huling, Menggang Yu: Subgroup Identification Using the personalized Package (2021) not zbMATH
  17. Jasper B. Yang, Bryan E. Shepherd, Thomas Lumley, Pamela A. Shaw: Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall (2021) arXiv
  18. Kianian, Behzad; Kim, Jung In; Fine, Jason P.; Peng, Limin: Causal proportional hazards estimation with a binary instrumental variable (2021)
  19. Kim, Kyuhyun; Ko, Jungyeol; Kang, Sangwook: Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data (2021)
  20. Kvamme, Håvard; Borgan, Ørnulf: Continuous and discrete-time survival prediction with neural networks (2021)

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