JSM 2005 - Toronto

Abstract #302748

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 300
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302748
Title: Case-Control Studies When Case Participants and Control Participants Have Different Numbers of Exposure Measurements
Author(s): Glen A. Satten*+ and Dana Flanders
Companies: Centers for Disease Control and Prevention and Emory University
Address: 4770 Buford Hwy, Chamblee, GA, 30341,
Keywords:
Abstract:

By accident or design, the number of exposure measurements available for case and control participants may be systematically different. In this situation, using the average of the exposure measurements as an explanatory variable may seem initially reasonable. However, we show this approach can result in bias. In some situations with multiple exposure measurements, use of the maximum exposure measurement as an explanatory variable has been proposed. When the numbers of exposure measurements is "naturally occurring" (for example, when one measurement is available from each of the members of a household), use of the maximum exposure may seem reasonable---even though cases and controls have different numbers of measures. This line of reasoning also can lead to bias, and an association between disease and exposure may be confounded by the number of measurements unless the typical exposure for a case participant differs from a typical exposure for a control participant.


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