wow-inequalities/02-data/intermediate/wos_sample/6fb3c40dbfebab2384d73e32f161357e-buckley-jessie-p.-a/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'Healthy worker survivor bias may occur in occupational studies due to
the tendency for unhealthy individuals to leave work earlier, and
consequently accrue less exposure, compared with their healthier
counterparts. If occupational data are not analyzed using appropriate
methods, this bias can result in attenuation or even reversal of the
estimated effects of exposures on health outcomes. Recent advances in
computing power, coupled with state-of-the-art statistical methods, have
greatly increased the ability of analysts to control healthy worker
survivor bias. However, these methods have not been widely adopted by
occupational epidemiologists. We update the seminal review by Arrighi
and Hertz-Picciotto (Epidemiology. 1994; 5: 186-196) of the sources and
methods to control healthy worker survivor bias. In our update, we
discuss methodologic advances since the publication of that review,
notably with a consideration of how directed acyclic graphs can inform
the choice of appropriate analytic methods. We summarize and discuss
methods for addressing this bias, including recent work applying
g-methods to account for employment status as a time-varying covariate
affected by prior exposure. In the presence of healthy worker survivor
bias, g-methods have advantages for estimating less biased parameters
that have direct policy implications and are clearly communicated to
decision-makers.'
affiliation: 'Buckley, JP (Corresponding Author), Univ N Carolina, Dept Epidemiol,
CB 7435, Chapel Hill, NC 27599 USA.
Buckley, Jessie P.; Keil, Alexander P.; McGrath, Leah J.; Edwards, Jessie K., Univ
N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599
USA.
McGrath, Leah J., RTI Hlth Solut, Chapel Hill, NC USA.'
author: Buckley, Jessie P. and Keil, Alexander P. and McGrath, Leah J. and Edwards,
Jessie K.
author-email: jessbuck@unc.edu
author_list:
- family: Buckley
given: Jessie P.
- family: Keil
given: Alexander P.
- family: McGrath
given: Leah J.
- family: Edwards
given: Jessie K.
da: '2023-09-28'
doi: 10.1097/EDE.0000000000000217
eissn: 1531-5487
files: []
issn: 1044-3983
journal: EPIDEMIOLOGY
keywords-plus: 'LUNG-CANCER MORTALITY; OCCUPATIONAL ASBESTOS EXPOSURE;
FAILURE-TIME-MODELS; ACTIVE ANTIRETROVIRAL THERAPY; MARGINAL STRUCTURAL
MODELS; PARAMETRIC G-FORMULA; MEASUREMENT ERROR; INTERNAL COMPARISONS;
CUMULATIVE EXPOSURE; CAUSAL INFERENCE'
language: English
month: MAR
number: '2'
number-of-cited-references: '62'
orcid-numbers: 'Keil, Alexander/0000-0002-0955-6107
Edwards, Jessie/0000-0002-1741-335X
Buckley, Jessie/0000-0001-7976-0157'
pages: 204-212
papis_id: c1ceb9bc0c2c49bf8c06742e587c3b26
ref: Buckley2015evolvingmethods
researcherid-numbers: 'Keil, Alexander/CAE-8705-2022
'
tags:
- review
times-cited: '70'
title: Evolving Methods for Inference in the Presence of Healthy Worker Survivor Bias
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000349400300026
usage-count-last-180-days: '0'
usage-count-since-2013: '16'
volume: '26'
web-of-science-categories: Public, Environmental \& Occupational Health
year: '2015'