df_emc_sel {multibias}

Simulated data with exposure misclassification and selection bias

Description

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

Usage

df_emc_sel

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