Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application-Reference-Cited by-同舟云学术

Case-Crossover Analysis of Air Pollution Health Effects: A Systematic Review of Methodology and Application

Published:2010-08 Issue:8 Volume:118 Page:1173-1182
ISSN:0091-6765
Container-title:Environmental Health Perspectives
language:en
Short-container-title:Environ Health Perspect

Author:

Carracedo-Martínez Eduardo¹²,Taracido Margarita¹³,Tobias Aurelio⁴,Saez Marc³⁵,Figueiras Adolfo¹³

Affiliation:

1. Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain

2. Santiago of Compostela Health Area, Galician Health Service [Servizo Galego de Saúde (SERGAS)], Santiago de Compostela, Spain

3. Consortium for Biomedical Research in Epidemiology and Public Health [CIBER en Epidemiología y Salud Pública (CIBERESP)], Spain

4. Institute of Environmental Analysis and Water Research [Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA)], Spanish Scientific Research Council [Consejo Superior de Investigaciones Científicas (CSIC)], Barcelona, Spain

5. Research Group on Statistics, Applied Economics and Health [Grup de Recerca en Estadística, Economia Aplicada i Salut (GRECS)], University of Girona, Girona, Spain

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference115 articles.

1. Guidelines as to what constitutes an adverse respiratory health effect, with special reference to epidemiologic studies of air pollution;American Thoracic Society;Am Rev Respir Dis,1985

2. The Effects of Air Pollution on Hospitalizations for Cardiovascular Diseasein Elderly People in Australian and New Zealand Cities

3. Air Pollution and Child Respiratory Health

4. Control for Seasonal Variation and Time Trend in Case-Crossover Studies of Acute Effects of Environmental Exposures

5. Selection Bias and Confounding in Case-Crossover Analyses of Environmental Time-Series Data

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