New statistical approaches to semiparametric regression with application to air pollution research

Res Rep Health Eff Inst. 2013 Nov:(175):3-129.

Authors

James M Robins¹, Peng Zhang², Rajeev Ayyagari³, Roger Logan⁴, Eric Tchetgen Tchetgen⁴, Lingling Li⁵, Thomas Lumley⁶, Aad van der Vaart³; HEI Health Review Committee

Affiliations

¹ Department of Biostatistics, Harvard University, Boston, MA 02115, USA. robins@hsph.harvard.edu
² Quantitative Methodology Program, University of Michigan, USA.
³ Department of Mathematics, Vrije Universiteit, Amsterdam.
⁴ Department of Epidemiology, Harvard University, Boston, MA 02115, USA.
⁵ Department of Ambulatory Care and Prevention, Harvard Medical School, Boston, MA 02115, USA.
⁶ Department of Biostatistics, University of Washington, USA.

PMID: 24400588

No abstract available

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Air Pollutants / adverse effects*
Air Pollutants / analysis
Air Pollution / analysis
Air Pollution / statistics & numerical data*
Data Interpretation, Statistical*
Epidemiologic Methods
Humans
Mortality / trends*
Particulate Matter / adverse effects*
Particulate Matter / analysis
Temperature
Time Factors
Urban Population

Substances

Air Pollutants
Particulate Matter