What weather variables are important in predicting heat-related mortality? A new application of statistical learning methods-Reference-Cited by-同舟云学术

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What weather variables are important in predicting heat-related mortality? A new application of statistical learning methods

Published:2014-07 Issue: Volume:132 Page:350-359
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Zhang Kai,Li Yun,Schwartz Joel D.,O׳Neill Marie S.

Funder

University of Michigan

U.S. Environmental Protection Agency Science to Achieve Results (STAR)

U.S. Centers for Disease Control and Prevention

National Institute for Environmental Health Sciences

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference20 articles.

1. What measure of temperature is the best predictor of mortality?;Barnett;Environ. Res.,2010

2. A Bayesian model averaging approach for estimating the relative risk of mortality associated with heat waves in 105 U.S. cities;Bobb;Biometrics,2011

3. Random forests;Breiman;Mach. Learn.,2001

4. The toxicological evaluation of realistic emissions of source aerosols study: statistical methods;Coull;Inhal. Toxicol.,2011

5. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models;Faraway,2006

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