Simulated data with exposure misclassification and outcome misclassification
Source:R/data_em_om.R
df_em_om.RdData 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_em_om_source, the true, unbiased exposure-outcome
odds ratio = 2.
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