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.
df_emA dataframe with 100,000 rows and 5 columns:
misclassified exposure, 1 = present and 0 = absent
outcome, 1 = present and 0 = absent
1st confounder, 1 = present and 0 = absent
2nd confounder, 1 = present and 0 = absent
3rd confounder, 1 = present and 0 = absent