Estimating exposure response functions using ambient pollution concentrations

Gavin Shaddick; Duncan Lee; James V. Zidek; Ruth Salway

doi:10.1214/08-AOAS177

Estimating exposure response functions using ambient pollution concentrations

Gavin Shaddick
, Duncan Lee
, James V. Zidek
, Ruth Salway

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1249-1270
Number of pages	22
Journal	Annals of Applied Statistics
Volume	2
Issue number	4
DOIs	https://doi.org/10.1214/08-AOAS177
Publication status	Published - Dec 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Air pollution
Bayesian hierarchical models
Environmental epidemiology
Personal exposure simulator

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10.1214/08-AOAS177

Cite this

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title = "Estimating exposure response functions using ambient pollution concentrations",

keywords = "Air pollution, Bayesian hierarchical models, Environmental epidemiology, Personal exposure simulator",

author = "Gavin Shaddick and Duncan Lee and Zidek, \{James V.\} and Ruth Salway",

year = "2008",

month = dec,

doi = "10.1214/08-AOAS177",

language = "English",

volume = "2",

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journal = "Annals of Applied Statistics",

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publisher = "Institute of Mathematical Statistics",

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T1 - Estimating exposure response functions using ambient pollution concentrations

AU - Shaddick, Gavin

AU - Lee, Duncan

AU - Zidek, James V.

AU - Salway, Ruth

PY - 2008/12

Y1 - 2008/12

KW - Air pollution

KW - Bayesian hierarchical models

KW - Environmental epidemiology

KW - Personal exposure simulator

UR - https://www.scopus.com/pages/publications/78649754830

U2 - 10.1214/08-AOAS177

DO - 10.1214/08-AOAS177

M3 - Article

AN - SCOPUS:78649754830

SN - 1932-6157

VL - 2

SP - 1249

EP - 1270

JO - Annals of Applied Statistics

JF - Annals of Applied Statistics

IS - 4

ER -

Estimating exposure response functions using ambient pollution concentrations

UN SDGs

Keywords

Access to Document

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Cite this