Comparing lead poisoning risk assessment methods: census block group characteristics vs. zip codes as predictors.
Kaplowitz
Stan A
SA
Department of Sociology, Michigan State University, East Lansing, MI 48824-1111, USA. kaplowi1@msu.edu
Perlstadt
Harry
H
Perlstadt
Harry
H
Post
Lori A
LA
D000704:Analysis of Variance; D019352:Censuses; D002648:Child; D002675:Child, Preschool; D017046:Cost Savings; D003362:Cost-Benefit Analysis; D006798:Housing / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D007855:Lead Poisoning / Q000175:diagnosis / Q000453:epidemiology; D016018:Least-Squares Analysis; D016014:Linear Models; D008403:Mass Screening; D008484:Medicaid / Q000706:statistics & numerical data; D008824:Michigan / Q000453:epidemiology; D015980:Public Health Practice; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000191:economics / Q000379:methods*; D015983:Selection Bias; D012680:Sensitivity and Specificity; D012959:Socioeconomic Factors; D014481:United States