| sim_point_surv {lmtp} | R Documentation |
Simulated Point-treatment Survival Data
Description
A dataset with a time-to-event outcome, two baseline nodes, a binary point treatment, six past-time outcome nodes, and six censoring indicators.
Usage
sim_point_surv
Format
A data frame with 2000 rows and 16 variables:
- W1
Binary baseline variable.
- W2
Categorical baseline variable.
- trt
Binary treatment variable.
- C.0
Censoring indicator that the observation is observed future time points.
- Y.1
Outcome node at time 1.
- C.1
Censoring indicator that the observation is observed future time points.
- Y.2
Outcome node at time 2.
- C.2
Censoring indicator that the observation is observed future time points.
- Y.3
Outcome node at time 3.
- C.3
Censoring indicator that the observation is observed future time points.
- Y.4
Outcome node at time 4.
- C.4
Censoring indicator that the observation is observed future time points.
- Y.5
Outcome node at time 5.
- C.5
Censoring indicator that the observation is observed future time points.
- Y.6
Final outcome node.