ex_coxquad {smcfcs} | R Documentation |
Simulated example data with time to event outcome and quadratic covariate effects
Description
A dataset containing simulated data where a time to event outcome depends quadratically on a partially observed covariate.
Usage
ex_coxquad
Format
A data frame with 1000 rows and 6 variables:
- t
Time to event or censoring
- d
Binary indicator of whether event occurred or individual was censored
- z
Fully observed covariate, with linear effect on outcome (on log hazard scale)
- x
Partially observed normally distributed covariate, with quadratic effect on outcome (on log hazard scale)
- xsq
The square of x, which thus has missing values also
- v
An auxiliary variable (i.e. not contained in the substantive model)
[Package smcfcs version 1.8.0 Index]