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Activity Number: 132
Type: Contributed
Date/Time: Monday, August 3, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #305023
Title: Bayesian Method for Misclassified Multinomial Data with Prior Information and External Data
Author(s): Yi Qian*+ and Deukwoo Kwon and Jeesun Jung
Companies: Amgen, Inc. and National Cancer Institute and Indiana University School of Medicine
Address: One Amgen Center Drive, Thousand Oaks, CA, 91320-1799,
Keywords: Bayesian inference ; misclassified multinomial data ; misclassification
Abstract:

Many epidemiological studied are based on surveys or questionnaires. Some key variables are recorded incorrectly since respondent misunderstands questions or is reluctant to give honest answer. In medical data, some disease is easily misclassified with other type of disease. With either gold standard or double sampling scheme, we may estimate misclassification probabilities. In this presentation we examine how estimates of true proportions are biased when we ignore misclassification. We also show improvement by using prior information and/or external data.

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