Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Miller et al. find benefits of Medicaid for pregnant mothers in 1980s carry over two generations

Starr's findings account for some of the 19% black-white gap in federal sentencing

Frey says suburbs are aging, cities draw millennials

More News


Bailey et al. find higher incomes among children whose parents had access to federal family planning programs in the 1960s and 70s

U-M's campus climate survey results discussed in CHE story

U-M honors James Jackson's groundbreaking work on how race impacts the health of black Americans

U-M is the only public and non-coastal university on Forbes' top-10 list for billionaire production

More Highlights

Next Brown Bag

Mon, Jan 22, 2018, noon: Narayan Sastry

Estimation of the proportion of overweight individuals in small areas - a robust extension of the Fay-Herriot model

Publication Abstract

Xie, D.W., Trivellore Raghunathan, and James M. Lepkowski. 2007. "Estimation of the proportion of overweight individuals in small areas - a robust extension of the Fay-Herriot model." Statistics in Medicine, 26(13): 2699-2715.

Hierarchical model Such as Fay-Herriot (FH) model is often used in small area estimation. The method might perform well overall but is vulnerable to outliers. We propose a robust extension of the FH model by assuming the area random effects follow a t distribution with an unknown degrees-of-freedom parameter. The inferences are constructed using a Bayesian framework. Monte Carlo Markov Chain (MCMC) such as Gibbs sampling and Metropolis-Hastings acceptance and rejection algorithms are used to obtain the joint posterior distribution of model parameters. The procedure is used to estimate the county-level proportion of overweight individuals from the 2003 public-use Behavioral Risk Factor Surveillance System (BRFSS) data. We also discuss two approaches for identifying outliers in the context of this application.

DOI:10.1002/sjm.2709 (Full Text)

Browse | Search : All Pubs | Next