Confounding Involving Several Risk Factors

David G. Kleinbaum, Kevin M. Sullivan and Nancy D. Barker
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David G. Kleinbaum: Emory University, Rollins School of Public Health
Kevin M. Sullivan: Emory University, Department of Epidemiology Rollins School of Public Health

Chapter LESSON 11 in ActivEpi Companion Textbook, 2013, pp 311-329 from Springer

Abstract: Abstract This lesson considers how the assessment of confounding gets somewhat more complicated when controlling for more than one risk factor. In particular, when several risk factors are being controlled, we may find that considering all risk factors simultaneously may not lead to the same conclusion as when considering risk factors separately. We have previously (Lesson 10) argued that the assessment of confounding is not appropriate for variables that are effect modifiers of the exposure-disease relationship under study. Consequently, throughout this lesson, our discussion of confounding will assume that none of the variables being considered for control are effect modifiers (i.e., there is no interaction between exposure and any variable being controlled).

Keywords: Risk Factors; Exposure-disease Relationship; Crude Risk Ratio; Candidate Subset; Candidate Subgroups (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5428-1_11

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DOI: 10.1007/978-1-4614-5428-1_11

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