Correcting for measurement error in binary and continuous variables using replicates
Abstract
Measurement error in exposures and confounders leads to bias in regression coefficients. It is possible to adjust for this bias if true values or independent replicates are observed on a subsample. We extend a method suitable for quantitative variables to the situation where both binary and quantitative variables are present. Binary variables with independent replicates introduce two extra problems: (i) the error is correlated with the true...
Paper Details
Title
Correcting for measurement error in binary and continuous variables using replicates
Published Date
Nov 9, 2001
Journal
Volume
20
Issue
22
Pages
3441 - 3457
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