A regression approach for estimating multiday adverse health effects of PM10 When PM 10 Data are Unavailable
The authors propose a regression-based approach for obtaining multiday estimates of the adverse health effects of ambient particulate matter less than 10 microm in diameter (PM(10)) when daily PM(10) time-series data are unavailable. This situation is common in the United States, because most US cities take PM(10) measurements every 6 days. Current evidence suggests that adverse effects of PM(10) are not concentrated on a single day but rather are spread out over multiple days, so the...[Show more]
|Collections||ANU Research Publications|
|Source:||American Journal of Epidemiology|
|01_Martin_A_regression_approach_for_2008.pdf||108.69 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.