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Abstract Details
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Activity Number:
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203
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Type:
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Roundtables
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Date/Time:
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Monday, August 1, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #301526 |
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Title:
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Instrumental Variable Estimation in Epidemiologic Research
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Author(s):
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Miguel Hernan*+
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Companies:
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Harvard School of Public Health
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Address:
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677 Huntingtin Avenue, Boston, MA, 02115,
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Keywords:
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instrumental variables ;
causal inference ;
epidemiology ;
confounding
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Abstract:
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Instrumental variable (IV) estimation is an attractive approach for causal inference from observational data. Unlike other approaches, IV estimation does not require that all confounders are appropriately measured and adjusted for in the analysis. Rather, valid IV estimation requires (i) the identification of an instrument, and (ii) that some additional conditions hold. Unfortunately, it is not generally possible to empirically verify whether a variable is an instrument or whether the additional conditions hold. Further the direction of bias of IV estimates may be counterintuitive for epidemiologists accustomed to other adjustment methods. In this Roundtable, we will discuss the relative advantages and disadvantages of IV estimation for causal inference from observational data.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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