References in zbMATH (referenced in 13 articles )

1. 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
2. Samuel L. Brilleman, Rory Wolfe, Margarita Moreno-Betancur, Michael J. Crowther: Simulating Survival Data Using the simsurv R Package (2021) not zbMATH
3. Yun-Hee Choi, Laurent Briollais, Wenqing He, Karen Kopciuk: FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs (2021) not zbMATH
4. Emma C. Martin, Alessandro Gasparini, Michael J. Crowther: merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models (2020) arXiv
5. Theodor Balan; Hein Putter: frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models (2019) not zbMATH
6. Dharmarajan, Sai H.; Schaubel, Douglas E.; Saran, Rajiv: Evaluating center performance in the competing risks setting: application to outcomes of wait-listed end-stage renal disease patients (2018)
7. Jing Zhao; Jian’an Luan; Peter Congdon: Bayesian Linear Mixed Models with Polygenic Effects (2018) not zbMATH
8. John Monaco; Malka Gorfine; Li Hsu: General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv (2018) not zbMATH
9. Ha, Il Do; Jeong, Jong-Hyeon; Lee, Youngjo: Statistical modelling of survival data with random effects. H-likelihood approach (2017)
10. John V. Monaco, Malka Gorfine, Li Hsu: General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv (2017) arXiv
11. Lee, Youngjo; Ronnegård, Lars; Noh, Maengseok: Data analysis using hierarchical generalized linear models with R (2017)
12. Gellar, Jonathan E.; Colantuoni, Elizabeth; Needham, Dale M.; Crainiceanu, Ciprian M.: Cox regression models with functional covariates for survival data (2015)
13. Marco Munda; Federico Rotolo; Catherine Legrand: parfm: Parametric Frailty Models in R (2012) not zbMATH