simsurv swMATH ID: 31326 Software Authors: Sam Brilleman; Alessandro Gasparini Description: R package simsurv: Simulate Survival Data. Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Clustered event times are also accommodated. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions reflecting those seen in practice. If the user wishes to provide a user-defined hazard or log hazard function then this is possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the ’survsim’ package available in the ’Stata’ software (see Crowther and Lambert (2012) <http://www.stata-journal.com/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>). Homepage: https://cran.r-project.org/web/packages/simsurv/index.html Source Code: https://github.com/cran/simsurv Dependencies: R Keywords: R; R package; survival; time-to-event; simulation; Journal of Statistical Software Related Software: R; simjm; SimSCRPiecewise; rstpm2; prodlim; mlt; flexsurv; survsim; Stata; PermAlgo; coxme; BB; SimHaz; party; CoxBoost; CRAN; obliqueRF; fRMA; obliqueRSF; XGBoost Cited in: 1 Publication Standard Articles 1 Publication describing the Software Year all top 5 Cited by 9 Authors 1 Howard, George 1 Jaeger, Byron C. 1 Long, D. Leann 1 Long, Dustin M. 1 McClure, Leslie A. 1 Min, Yuan-I 1 Simon, Noah Robin 1 Sims, Mario 1 Szychowski, Jeff M. Cited in 1 Serial 1 The Annals of Applied Statistics Cited in 1 Field 1 Statistics (62-XX) Citations by Year