A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology

Author:

Sampson Paul D.,Richards Mark,Szpiro Adam A.,Bergen Silas,Sheppard Lianne,Larson Timothy V.,Kaufman Joel D.

Funder

United States Environmental Protection Agency (EPA)

NIEHS DISCOVER Center

Biostatistics, Epidemiologic & Bioinformatic Training in Environmental Health Training

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference27 articles.

1. Partial least squares regression and projection on latent structure regression (PLS regression);Abdi;WIREs Computational Statistics,2010

2. A national prediction model for components of PM2.5 and measurement error corrected health effect inference;Bergen,2012

3. An interpretation of partial least squares;Garthwaite;Journal of the American Statistical Association,1994

4. Seasonal composition of remote and urban fine particulate matter in the United States;Hand;Journal of Geophysical Research,2012

5. Spatial modeling of PM10 and NO2 in the continental United States, 1985–2000;Hart;Environmental Health Perspectives,2009

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