Schwartz, J. (1993), "Air Pollution and daily mortality in Birmingham, Alabama". American Journal of Epidemiology, 137, 1136--1147. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Model Uncertainty and Health Effect Studies for Particulate Matter - Clyde (2000) (Correct)
....and overdispersion. This is often done in a highly exploratory fashion, and different model selection strategies may lead to different models and conclusions about the 3 magnitude of relative risks associated with changes in particulate matter. For example, in analyses for Birmingham, AL, Schwartz (1993) found the best model had a relative risk of 1.11, based on 100 g=m 3 increase in PM 10 , using a PM 10 exposure measure based on the average of PM 10 for the three previous days. Smith et al. 1999) to be referred to as SDSSS) found that results were sensitive to the exposure measure of PM 10 ....
....associations are not an artifact of model selection. In this paper, data from Birmingham, AL are re analyzed using Bayesian Model Averaging (BMA) in conjunction with generalized additive models to assess the impact of model uncertainty on estimates of relative risks due to changes in PM 10 . As in Schwartz (1993) and Smith et al. 1999) the response variable is non accidental mortality. Additional information on the data and variables is given in section 2. In section 3, we describe the hierarchical Poisson regression model for model averaging. In section 4, we present a class of objective prior ....
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Schwartz, J. (1993), "Air Pollution and daily mortality in Birmingham, Alabama". American Journal of Epidemiology, 137, 1136--1147.
Accounting for Model Uncertainty in Poisson Regression.. - Merlise Clyde And (1997) (3 citations) (Correct)
....based on observational data. Birmingham, Alabama was chosen as one study site because particulate matter pollution in Birmingham is highest in the warmer months, while mortality is highest in the colder months, thus the possibility of finding an association due to seasonal confounding is reduced. Schwartz (1993) found a significant statistical association between particulate pollution levels and daily mortality in Birmingham using several different modelling approaches. Davis, Sacks, Saltzman, Smith, and Styer (1996) Smith, Davis, and Speckman (1998) and Smith, Davis, Sacks, Speckman, and Styer (1998) ....
....Sacks, Speckman, and Styer (1998) re examined the Birmingham data, including additional meteorological variables and different measures of particulate matter. Davis et al. 1996) used a three day average of PM 10 based on the current day (lag 0) and the two previous days (lag 1 and lag 2) while Schwartz (1993) used the average of the three previous days (lags 1 thru 3) Smith et al. 1997) and Smith et al. 1998) have used the individual lags (lags 0 thru 4) as well as both averages of PM 10 in model building. Smith et al. 1997) and Smith et al. 1998) found that when the 5 individual lags of PM 10 were ....
[Article contains additional citation context not shown here]
Schwartz, J. (1993), "Air Pollution and Daily Mortality in Birmingham, Alabama," American Journal of Epidemiology, 137, 1136--1147.
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