Simulated data with uncontrolled confounding and outcome misclassification

Data containing two sources of bias, three known confounders, and 100,000 observations. This data is obtained from df_uc_om_source by removing the columns Y and U. The resulting data corresponds to what a researcher would see in the real-world: a misclassified outcome, Ystar, and missing data on the binary confounder U. As seen in df_uc_omc_source, the true, unbiased exposure-outcome odds ratio = 2.

Usage

df_uc_om

Format

A dataframe with 100,000 rows and 5 columns:

X

exposure, 1 = present and 0 = absent

Ystar

misclassified 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