JSM 2004 - Toronto

Abstract #300819

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Activity Number: 107
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #300819
Title: Empirical Bayes Estimation Smoothing of Relative Risks in Disease-mapping
Author(s): Jane L. Meza*+
Companies: University of Nebraska Medical Center
Address: 984350 Nebraska Medical Center, Omaha, NE, 68198-4350,
Keywords: empirical Bayes ; standardized mortality ratio ; disease-mapping
Abstract:

A common index of disease incidence and mortality is the standardized mortality ratio (SMR). The SMR is a reliable measure of relative risk for large geographical regions such as countries or states, but may be unreliable for small areas such as counties. A multilevel Poisson model with covariates will be used to produce smoothed estimates of the small-area-level SMR. A hybrid of parametric bootstrap and delta methods is used to estimate the MSE. The proposed measure captures all sources of uncertainty in approximating the MSE of the proposed empirical Bayes estimator of the SMR.

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