mecor (version 0.9.0)

iovs_diff: Internal Outcome Validation Study

Description

A simulated dataset containing 1000 observations of the error-prone outcome Y_star with differential measurement error, and the binary exposure X. The gold standard outcome Y is observed in approximately 25% of the study population

Usage

iovs_diff

Format

A data frame with 1000 rows and 3 variables:

Y_star

error-prone outcome, continuous

X

exposure, binary

Y

gold standard outcome, continuous

Examples

# NOT RUN {
data("iovs_diff", package = "mecor")
# }