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Simulated data with outcome misclassification and selection bias

Source: R/data_om_sel.R
df_om_sel.Rd

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

Usage

df_om_sel

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