df_emc_omc {multibias}

Simulated data with exposure misclassification and outcome misclassification

Description

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

Usage

df_emc_omc

Format

A dataframe with 100,000 rows and 5 columns:

Xstar

misclassified 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