Model-based small area estimates of overweight prevalence using sample selection adjustment

Stat Med. 1999 Dec 15;18(23):3189-200. doi: 10.1002/(sici)1097-0258(19991215)18:23<3189::aid-sim309>3.0.co;2-c.

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.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Bayes Theorem
  • Bias
  • Female
  • Humans
  • Likelihood Functions
  • Male
  • Middle Aged
  • Models, Biological*
  • Nutrition Surveys
  • Obesity / epidemiology*
  • Prevalence
  • Small-Area Analysis*
  • United States / epidemiology