Exposure Measurement Error Correction in Longitudinal Studies With Discrete Outcomes

• Published in: Statistics in medicine Vol. 44; no. 15-17; pp. e70191 - n/a
• Main Authors: Yang, Ce, Zhang, Ning, Li, Jiaxuan, Mehta, Unnati V., Hart, Jaime E., Spiegelman, Donna L., Wang, Molin
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.07.2025; Wiley Subscription Services, Inc
• Subjects: air pollution; anxiety; Anxiety Disorders - epidemiology; Anxiety Disorders - etiology; Bias; Computer Simulation; Environmental Exposure - adverse effects; Environmental Exposure - analysis; Environmental Exposure - statistics & numerical data; generalized estimating equation; Humans; longitudinal data; Longitudinal Studies; measurement error correction; Models, Statistical; Particulate Matter - adverse effects; anxiety; air pollution; generalized estimating equation; longitudinal data; measurement error correction

ABSTRACT Environmental epidemiologists are often interested in estimating the effect of time‐varying functions of the exposure history on health outcomes. However, the individual exposure measurements that constitute the history upon which an exposure history function is constructed are usually subj...