int_norm_df {beastt}

Internal Normal 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 normal endpoint, where the baseline covariate distributions of the internal and external data are balanced via inverse probability weighting.

Usage

int_norm_df

Format

int_norm_df

A data frame with 120 rows and 7 columns:

subjid

Unique subject ID

cov1

Covariate 1, which is normally distributed around 55 with a SD of 8

cov2

Covariate 2, which is binary (0 vs. 1) with about 30% of participants having level 1

cov3

Covariate 3, which is binary (0 vs. 1) with about 50% of participants having level 1

cov4

Covariate 4, which is binary (0 vs. 1) with about 30% of participants having level 1

trt

Treatment indicator, where 0 = control and 1 = active treatment

y

Response, which is normally distributed with a SD of 0.15