Adjusting for Berkson error in exposure in ordinary and conditional logistic regression and in Poisson regression.

ABSTRACT:

Background

INTEROCC is a seven-country cohort study of occupational exposures and brain cancer risk, including occupational exposure to electromagnetic fields (EMF). In the absence of data on individual exposures, a Job Exposure Matrix (JEM) may be used to construct likely exposure scenarios in occupational settings. This tool was constructed using statistical summaries of exposure to EMF for various occupational categories for a comparable group of workers.

Methods

In this study, we use the Canadian data from INTEROCC to determine the best EMF exposure surrogate/estimate from three appropriately chosen surrogates from the JEM, along with a fourth surrogate based on Berkson error adjustments obtained via numerical approximation of the likelihood function. In this article, we

SUBMITTER: Oraby T 

PROVIDER: S-EPMC10566152 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature