Measurement error in air pollution epidemiology: Guidance for uncertain times.
Measurement error in air pollution epidemiology: Guidance for uncertain times.
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DOI:
10.1002/env.2242
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发表时间:
2013-12
期刊:
影响因子:
1.7
通讯作者:
Peng, Roger D.
中科院分区:
文献类型:
--
作者:
Peng, Roger D.
It is a great pleasure to provide a discussion of Adam Szpiro’s and Chris Paciorek’s (SP) comprehensive and clarifying paper on measurement error in air pollution epidemiology. I see this paper as a culmination of much methodological work, some conducted by Szpiro and Paciorek themselves, that has been conducted over the past decade regarding the estimation of associations between air pollution concentrations and health outcomes. Not only do SP provide insight into how measurement error arises in cohort studies of air pollution and health, they clearly specify its impacts on the estimation of the health effects parameters and propose a novel solution for accouting for the various types of measurement error.For those unfamiliar with the general area of air pollution epidemiology, it may be worthwhile to review briefly the context in which this paper sits in order to clarify its significance. A key point to note is that a fundamental problem of essentially all studies of the health effects of air pollution is that the relevant exposure is not directly measured. With the exception of experimental studies, where exposures are controlled, and smaller-scale observational studies where direct monitoring of personal or ambient air pollution concentrations can be accomplished, studies requiring air pollution exposure estimates require some kind of surrogate. One advantage of conducting air pollution epidemiological studies is that there are extensive monitoring networks sited in major metropolitan areas that provide publicly accessible data. However, measurement error is the price one must pay when it comes to linking that data with health outcomes in a human population.
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DOI:
10.1111/j.1467-985x.2006.00410.x
发表时间:
2006-01-01
影响因子:
2
作者:
Peng, RD;Dominici, F;Louis, TA
通讯作者:
Louis, TA
影响因子:
2.1
作者:
Szpiro, Adam A.;Sheppard, Lianne;Lumley, Thomas
通讯作者:
Lumley, Thomas
DOI:
10.1214/10-sts326
发表时间:
2010-02
期刊:
Statistical science : a review journal of the Institute of Mathematical Statistics
影响因子:
--
作者:
Paciorek CJ
通讯作者:
Paciorek CJ
影响因子:
2.1
作者:
Gryparis, Alexandros;Paciorek, Christopher J.;Coull, Brent A.
通讯作者:
Coull, Brent A.
DOI:
10.1198/016214504000000656
发表时间:
2004-12-01
影响因子:
3.7
作者:
Dominici, F;McDermott, A;Hastie, TJ
通讯作者:
Hastie, TJ