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Titel:

Covariate-adaptive clustering of exposures for air pollution epidemiology cohorts

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Keller, Joshua P.; Drton, Mathias; Larson, Timothy; Kaufman, Joel D.; Sandler, Dale P.; Szpiro, Adam A.
Abstract:
Cohort studies in air pollution epidemiology aim to establish associations between health outcomes and air pollution exposures. Statistical analysis of such associations is complicated by the multivariate nature of the pollutant exposure data as well as the spatial misalignment that arises from the fact that exposure data are collected at regulatory monitoring network locations distinct from cohort locations. We present a novel clustering approach for addressing this challenge. Specifically, we...     »
Stichworte:
Air pollution, clustering, dimension reduction, particulate matter
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
The Annals of Applied Statistics
Jahr:
2017
Band / Volume:
11
Jahr / Monat:
2017-04
Quartal:
2. Quartal
Monat:
Apr
Heft / Issue:
1
Seitenangaben Beitrag:
93-113
Sprache:
en
Volltext / DOI:
doi:10.1214/16-aoas992
WWW:
Project Euclid
Verlag / Institution:
Institute of Mathematical Statistics
E-ISSN:
1932-6157
Publikationsdatum:
08.04.2017
Format:
Text
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