title: Methods to adjust for misclassification in the quantiles for the generalized linear model with measurement error in continuous exposures.
abstract: In many biomedical studies, covariates of interest may be measured with errors. However, frequently in a regression analysis, the quantiles of the exposure variable are often used as the covariates in the regression analysis. Because of measurement errors in the continuous exposure variable, there could be misclassification in the quantiles for the exposure variable. Misclassification in the quantiles could lead to bias estimation in the association between the exposure variable and the outcome variable. Adjustment for misclassification will be challenging when the gold standard variables are not available. In this paper, we develop two regression calibration estimators to reduce bias in effect estimation. The first estimator is normal likelihood-based. The second estimator is linearization-based, and it provides a simple and practical correction. Finite sample performance is examined via a simulation study. We apply the methods to a four-arm randomized clinical trial that tested exercise and weight loss interventions in women aged 50-75 years.
authors.affiliation: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, U.S.A.
authors.forename: Ching-Yun
authors.identifier: http://orcid.org/0000-0001-7453-4329
authors.initials: CY
authors.lastname: Wang
authors.affiliation: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, U.S.A.
authors.forename: Jean De Dieu
authors.initials: Jde D
authors.lastname: Tapsoba
authors.affiliation: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, U.S.A.
authors.forename: Catherine
authors.initials: C
authors.lastname: Duggan
authors.affiliation: Department of Physical Therapy, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
authors.forename: Kristin L
authors.initials: KL
authors.lastname: Campbell
authors.affiliation: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, U.S.A.
authors.forename: Anne
authors.initials: A
authors.lastname: McTiernan
mesh_terms: D000368:Aged; D015982:Bias; D002138:Calibration; D003198:Computer Simulation; D005260:Female; D006801:Humans; D016014:Linear Models; D008875:Middle Aged; D016032:Randomized Controlled Trials as Topic; D012107:Research Design; D015431:Weight Loss
keywords: measurement error; misclassification; regression calibration