Example data simulated using the R package survtd
datasetposted on 06.04.2017 by MARGARITA MORENO-BETANCUR
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This example dataset is used to illustrate the usage of the R package survtd in the Supplementary Materials of the paper:
Moreno-Betancur M, Carlin JB, Brilleman SL, Tanamas S, Peeters A, Wolfe R (2017). Survival analysis with time-dependent covariates subject to measurement error and missing data: Two-stage joint model using multiple imputation (submitted).
The data was generated using the simjm function of the package, using the following code:dat<-simjm(n=200,surv_model="Add",marker_model="RE", MErr="Low",Miss="High",effects="Strong",corr="Mod")
Use ?simjm in R for more details about how the data is generated by this function and the variables in the resulting dataset (the package can be installed from https://github.com/moreno-betancur/survtd, where a user manual is also provided)