• Bryan Kestenbaum

Learning Objectives

  1. 1.

    Misclassification arises from errors in measuring study data.

  2. 2.

    Nondifferential misclassification results from random errors that occur roughly equally within a study population.

  3. 3.

    Nondifferential misclassification usually yields measures of association that are closer to the null value of 1.0.

  4. 4.

    Differential misclassification results from systematic errors that occur preferentially within a subset of a study population.

  5. 5.

    Differential misclassification may obscure true associations, falsely amplify associations, or create false associations

  6. 6.

    Uniform data collection procedures help to minimize the possibility for differential misclassification.



Telephone Interview Blood Pressure Cuff Relative Risk Estimate Medical Chart Review Differential Misclassification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.University of WashingtonSeattleUSA

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