df_emc_source {multibias}

Data source for df_emc

Description

Data with complete information on one sources of bias, three known confounders, and 100,000 observations. This data is used to derive df_emc and can be used to obtain bias parameters for purposes of validating the simultaneous multi-bias adjustment method with df_emc. With this source data, the fitted regression logit(P(Y=1)) = α₀ + α₁X + α₂C1 + α₃C2 + α₄C3 shows that the true, unbiased exposure-outcome odds ratio = 2.

Usage

df_emc_source

Format

A dataframe with 100,000 rows and 6 columns:

X

exposure, 1 = present and 0 = absent

Y

true 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

Xstar

misclassified exposure, 1 = present and 0 = absent