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American Journal of Epidemiology Advance Access originally published online on October 4, 2009
American Journal of Epidemiology 2009 170(10):1316-1317; doi:10.1093/aje/kwp317
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American Journal of Epidemiology © The Author 2009. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

BOOK REVIEWS

Applying Quantitative Bias Analysis to Epidemiologic Data

By Timothy L. Lash, Matthew P. Fox, and Aliza K. Fink

Chanelle J. Howe and Stephen R. Cole

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599

(e-mail: cole@unc.edu)

ISBN: 978-0-387-87960-4, Springer Science+Business Media, LLC, New York, New York (Telephone: 212-460-1500, Fax: 212-460-1575, E-mail: service-ny@springer.com), 2009, 194 pp., $79.95 Hardcover

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Applying Quantitative Bias Analysis to Epidemiologic Data (1) describes how quantitative bias analysis may be used to explore the impact of systematic errors (i.e., measurement, confounding, and selection biases) on inferences derived from epidemiologic studies. This book provides the tools with which to surmount conventional analyses by offering a clear description of bias analysis techniques that account for systematic errors in reported study results. Numerous papers on bias analysis have been published in the epidemiologic literature (e.g., 2), and books on uncertainty analysis exist outside of epidemiology (e.g., 3. . . [Full Text of this Article]


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