Simulated data with exposure misclassification

Data containing one source of bias, three known confounders, and 100,000 observations. This data is obtained from df_emc_source by removing the column X. The resulting data corresponds to what a researcher would see in the real-world: a misclassified exposure, Xstar, and no data on the true exposure. As seen in df_emc_source, the true, unbiased exposure-outcome odds ratio = 2.

Usage

df_em

Format

A dataframe with 100,000 rows and 5 columns:

Xstar

misclassified 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