Combining datasets to predict the effects of regulation of environmental lead exposure in housing stock.
A model for children's blood lead concentrations as a function of environmental lead exposures was developed by combining two nationally representative sources of data that characterize the marginal distributions of blood lead and environmental lead with a third regional dataset that contains joint measures of blood lead and environmental lead. The complicating factor addressed in this article was the fact that methods for assessing environmental lead were different in the national and regional datasets. Relying on an assumption of transportability (that although the marginal distributions of blood lead and environmental lead may be different between the regional dataset and the nation as a whole, the joint relationship between blood lead and environmental lead is the same), the model makes use of a latent variable approach to estimate the joint distribution of blood lead and environmental lead nationwide.
Strauss
W J
WJ
Department of Statistics and Data Analysis Systems, Battelle, Columbus, Ohio 43201-2693, USA. strauss@battelle.org
Carroll
R J
RJ
Bortnick
S M
SM
Menkedick
J R
JR
Schultz
B D
BD
D001699:Biometry; D002648:Child; D016208:Databases, Factual; D004781:Environmental Exposure / Q000331:legislation & jurisprudence; D004785:Environmental Pollutants / Q000032:analysis* / Q000378:metabolism*; D006798:Housing / Q000331:legislation & jurisprudence; D006801:Humans; D007854:Lead / Q000032:analysis* / Q000097:blood*; D020264:Lead Poisoning, Nervous System, Childhood / Q000517:prevention & control; D008954:Models, Biological; D015233:Models, Statistical; D014481:United States; D014484:United States Environmental Protection Agency
D004785:Environmental Pollutants; D007854:Lead