Measurement Error in Epidemiologic Studies

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Raymond J. Carroll

Raymond J. Carroll

Texas A&M University, College Station, TX, USA

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First published: 15 July 2005
Citations: 12

Abstract

This article concerns measurement error in epidemilogic studies, often called errors-in-variables. I discuss what measurement error is, its impact on parameter estimates and hypothesis tests, and how to perform statistical analyses that account for the measurement error.

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