Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

Evaluating bias from birth-cohort effects in the age-based Cox proportional hazards model.

Authors
Hein-MJ; Schubauer-Berigan-MK; Deddens-JA
Source
Epidemiology 2011 Mar; 22(2):249-256
NIOSHTIC No.
20038486
Abstract
The nested case-control design is frequently used to evaluate exposures and health outcomes within the confines of a cohort study. When incidence-density sampling is used to identify controls, the resulting data can be analyzed using conditional logistic regression (equivalent to stratified Cox proportional hazards regression). In these studies, exposure lagging is often used to account for disease latency. In light of recent criticism of incidence-density sampling, we used simulated occupational cohorts to evaluate age-based incidence-density sampling for lagged exposures in the presence of birth-cohort effects and associations among time-related variables. Effect estimates were unbiased when adjusted for birth cohort; however, unadjusted effect estimates were biased, particularly when age at hire and year of hire were correlated. When the analysis included an adjustment for birth cohort, the inclusion of lagged-out cases and controls (assigned a lagged exposure of zero) did not introduce bias.
Keywords
Age-factors; Biological-factors; Exposure-assessment; Time-weighted-average-exposure; Work-environment; Worker-health; Workplace-studies; Statistical-analysis
Contact
Misty J. Hein, Industrywide Studies Branch, Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, 4676 Columbia Parkway, MS R-14, Cincinnati, OH 45226
CODEN
EPIDEY
Publication Date
20110301
Document Type
Journal Article
Email Address
MHein@cdc.gov
Fiscal Year
2011
NTIS Accession No.
NTIS Price
Issue of Publication
2
ISSN
1044-3983
NIOSH Division
DSHEFS
Source Name
Epidemiology
State
OH
TOP