title: Model-based small area estimates of overweight prevalence using sample selection adjustment.
abstract: Using a hierarchical model with an adjustment for sample selection, we estimate the overweight prevalence for adults, by states, using data from the Third National Health and Nutrition Examination Survey (NHANES III). A two-stage hierarchical model was selected to account for geographic variability of outcomes and to model possible overdispersion of estimates due to cluster sampling. We compare our model-based estimates with design-based estimates at the national level and obtain excellent agreement. We also provide a check of our model at the state level by comparing estimates with design-based and synthetic estimates.
authors.affiliation: U.S. Bureau of the Census, Statistical Research Division, room 3132-4, Washington, D.C. 20233, USA. donald.j.malec@ccmail.census.gov
authors.forename: D
authors.initials: D
authors.lastname: Malec
authors.forename: W W
authors.initials: WW
authors.lastname: Davis
authors.forename: X
authors.initials: X
authors.lastname: Cao
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001499:Bayes Theorem; D015982:Bias; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D009749:Nutrition Surveys; D009765:Obesity / Q000453:epidemiology*; D015995:Prevalence; D017062:Small-Area Analysis; D014481:United States / Q000453:epidemiology