Estimating acute air pollution health effects from cohort study data

DOI10.1111/biom.12125zbMath1419.62455OpenAlexW1601977497WikidataQ30764949 ScholiaQ30764949MaRDI QIDQ4979245

Sara D. Adar, Lianne Sheppard, Joel D. Kaufman, Adam A. Szpiro

Publication date: 17 June 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/106742

zbMATH Keywords

time seriesair pollutionsemiparametric regressiongeneralized least squaresmixed modelsunmeasured confoundingenvironmental epidemiology

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Rejoinder

Uses Software

• R
• nlme

Cites Work

• Longitudinal data analysis using generalized linear models
• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Analysis of variance -- why it is more important than ever. (With discussions and rejoinder)
• Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
• A First Course in Bayesian Statistical Methods
• Bayesian Effect Estimation Accounting for Adjustment Uncertainty
• Improved Semiparametric Time Series Models of Air Pollution and Mortality
• Health Effects of Air Pollution: A Statistical Review

This page was built for publication: Estimating acute air pollution health effects from cohort study data