df_uc {multibias}

Simulated data with uncontrolled confounding

Description

Data containing one source of bias, three known confounders, and 100,000 observations. This data is obtained from df_uc_source by removing the column U. The resulting data corresponds to what a researcher would see in the real-world: information on known confounders (C1, C2, and C3), but not for confounder U. As seen in df_uc_source, the true, unbiased exposure-outcome effect estimate = 2.

Usage

df_uc

Format

A dataframe with 100,000 rows and 5 columns:

X_bi

binary exposure, 1 = present and 0 = absent

X_cont

continuous exposure

Y_bi

binary outcome corresponding to exposure X_bi, 1 = present and 0 = absent

Y_cont

continuous outcome corresponding to exposure X_cont

C1

1st confounder, 1 = present and 0 = absent

C2

2nd confounder, 1 = present and 0 = absent

C3

3rd confounder, 1 = present and 0 = absent