Confounders and intermediaries in case–control study designs: a strategy for distinguishing between the two when measured using the same variable
Identifieur interne : 001872 ( Main/Exploration ); précédent : 001871; suivant : 001873Confounders and intermediaries in case–control study designs: a strategy for distinguishing between the two when measured using the same variable
Auteurs : Andrea Gruneir [Canada] ; Connie Marras [Canada] ; Hadas Fischer [Canada] ; Xuesong Wang [Canada] ; Sudeep Gill [Canada] ; Paula A. Rochon [Canada] ; Geoffrey M. Anderson [Canada]Source :
- Pharmacoepidemiology and Drug Safety [ 1053-8569 ] ; 2011-03.
English descriptors
- KwdEn :
Abstract
An intermediary falls within the exposure–outcome pathway and is distinct from a confounder. In case–control studies, it may be difficult to discern between the two when both are measured by the same variable. Using data from a study on the effects of antipsychotic initiation on risk of death among older adults, where hospital use is both a confounder and intermediary, we illustrate the bias introduced when this distinction is overlooked and propose a modified exposure classification strategy to mitigate this.
Url:
DOI: 10.1002/pds.2058
Affiliations:
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Le document en format XML
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<front><div type="abstract">An intermediary falls within the exposure–outcome pathway and is distinct from a confounder. In case–control studies, it may be difficult to discern between the two when both are measured by the same variable. Using data from a study on the effects of antipsychotic initiation on risk of death among older adults, where hospital use is both a confounder and intermediary, we illustrate the bias introduced when this distinction is overlooked and propose a modified exposure classification strategy to mitigate this.</div>
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