int_tte_df {beastt} | R Documentation |
Internal Time-to-Event Control Data for Propensity Score Balancing
Description
This is a simulated dataset used to illustrate Bayesian dynamic borrowing in the case when borrowing from an external control arm with a time-to-event endpoint, where the baseline covariate distributions of the internal and external data are balanced via inverse probability weighting.
Usage
int_tte_df
Format
int_tte_df
A data frame with 160 rows and 10 columns:
- subjid
Unique subject ID
- y
Response (observed time at which the participant either had an event or was censored)
- enr_time
Enrollment time
- total_time
Time from study start
- event
Event indicator (1: event; 0: censored)
- trt
Treatment indicator, where 0 = control and 1 = active treatment
- cov1
Covariate 1, which is normally distributed around 62 with a SD of 8
- cov2
Covariate 2, which is binary (0 vs. 1) with about 40% of participants having level 1
- cov3
Covariate 3, which is binary (0 vs. 1) with about 40% of participants having level 1
- cov4
Covariate 4, which is binary (0 vs. 1) with about 60% of participants having level 1