Skip to contents

Simulated data with exposure misclassification and selection bias

Source: R/data_em_sel.R
df_em_sel.Rd

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_em_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_em_sel_source, the true, unbiased exposure-outcome odds ratio = 2.

Usage

df_em_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