Measurement and Classification of Disease

David A. Savitz

in Interpreting Epidemiologic Evidence

Published in print July 2003 | ISBN: 9780195108408
Published online September 2009 | e-ISBN: 9780199865765 | DOI:
Measurement and Classification of Disease

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This chapter considers the challenges that arise in accurately identifying the occurrence of disease, or more broadly, health outcomes. It considers the methods for detecting such errors and quantifying their impact on measures of association. Some amount of error in assessment is inevitable, with the extent of such error depending on the nature of the health outcome of interest, the ability to apply definitive (sometimes invasive) tests to all participants, and human and instrument error associated with gathering and interpreting the information needed to assess the outcome.

Keywords: epidemiological research; epidemiological studies; disease misclassification; exposure; integrated assessment; bias

Chapter.  15484 words.  Illustrated.

Subjects: Public Health and Epidemiology

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