Simulation of a time-to-event data for the estimatR function
Format
A data frame with 2000 rows and 21 columns:
- id
patient id
- g2
group variable with two levels 0/1
- g3
group variable with three levels (T0, T1 and T2)
- g4
group variable with three levels (T0, T1, T2 and T3)
- X4, X5
binary random covariates
- X6, X7, X8, X9, X10
continuous random covariates
- ttt, time2
event times
- event
binary status indicator (e.g. alive/death)
- event2
status indicator where 0 is censoring, 1 is event of interest and 2 is death as a competing risk
- event3
status indicator with multiple competing risks. 0=censorm, 1=event, 2=death, 3=competing event
- X6_bin, X7_bin, X8_bin, X9_bin, X10_bin
X6-X10 binned based on quintiles
...