Simulated data with selection bias

Data containing one source of bias, three known confounders, and 100,000 observations. This data is obtained by sampling with replacement with probability = S from df_sel_source then removing the S column. The resulting data corresponds to what a researcher would see in the real-world: missing data for those not selected into the study (S=0). As seen in df_sel_source, the true, unbiased exposure-outcome odds ratio = 2.

Usage

df_sel

Format

A dataframe with 100,000 rows and 5 columns:

X

exposure, 1 = present and 0 = absent

Y

outcome, 1 = present and 0 = absent

C1

1st confounder, 1 = present and 0 = absent

C2

2nd confounder, 1 = present and 0 = absent

C3

3rd confounder, 1 = present and 0 = absent