This is a simulated dataset used to illustrate Bayesian dynamic borrowing in the case when borrowing from an external control arm with a binary endpoint, where the baseline covariate distributions of the internal and external data are balanced via inverse probability weighting.
int_binary_dfint_binary_dfA data frame with 160 rows and 7 columns:
Unique subject ID
Covariate 1, which is normally distributed around 62 with an sd of 8
Covariate 2, which is binary (0 vs. 1) with about 40% of participants having level 1
Covariate 3, which is binary (0 vs. 1) with about 40% of participants having level 1
Covariate 4, which is binary (0 vs. 1) with about 60% of participants having level 1
Treatment indicator, where 0 = control and 1 = active treatment
Response, which is binary (0 vs. 1)