[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/CKSS.2002.9.1.115

Hierarchical Bayes Analysis of Smoking and Lung Cancer Data

Oh, Man-Suk (Department of Statistics, Ewha Womens University)
Park, Hyun-Jin (Consulting Division, SAS Korea)

Publication Information

Communications for Statistical Applications and Methods / v.9, no.1, 2002 , pp. 115-128 More about this Journal

Abstract

Hierarchical models are widely used for inference on correlated parameters as a compromise between underfitting and overfilling problems. In this paper, we take a Bayesian approach to analyzing hierarchical models and suggest a Markov chain Monte Carlo methods to get around computational difficulties in Bayesian analysis of the hierarchical models. We apply the method to a real data on smoking and lung cancer which are collected from cities in China.

Keywords

Hierarchical model; Correlated parameters; Markov chain Monte Carlo; Meta analysis;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
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