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Am J Epidemiol 2004; 159:911-912.
Copyright © 2004 by the Johns Hopkins Bloomberg School of Public Health

BOOK REVIEWS

Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments

Paul S. Levy

RTI International, Research Triangle Park, NC 27709

The first 10% of the full text of this article appears below.

By Paul Gustafson

ISBN 1-58488-335-9, Chapman and Hall/CRC Press, Boca Raton, Florida (Telephone: 800-272-7737, Fax: 800-374-3401, Website: http://www.crcpress.com), 2003, 200 pp., $79.95 (hardcover)

Epidemiologic studies that attempt to characterize associations between exposures and disease occurrence often rely on exposure assessments that are subject to mismeasurement (a term used in this book for either measurement error in a quantitative variable or misclassification in a categorical variable). The large body of existing literature on this subject deals mostly with the impact of mismeasurement on indicators of estimated exposure-disease associations. The literature is relatively scanty and unwieldy with regard to methods of adjustment for such mismeasurement. In most of the existing literature, . . . [Full Text of this Article]


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