df_uc_source {multibias}

Data source for df_uc

Description

Data with complete information on one source of bias, three known confounders, and 100,000 observations. This data is used to derive df_uc and can be used to obtain bias parameters for purposes of validating the simultaneous multi-bias adjustment method with df_uc. With this source data, the fitted regression g(P(Y=1)) = α₀ + α₁X + α₂C1 + α₃C2 + α₄C3 + α₅U shows that the true, unbiased exposure-outcome effect estimate = 2 when:

1. g = logit, Y = Y_bi, and X = X_bi or

2. g = identity, Y = Y_cont, X = X_cont.

Usage

df_uc_source

Format

A dataframe with 100,000 rows and 6 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

U

uncontrolled confounder, 1 = present and 0 = absent