Literature DB >> 25580054

Think globally, act globally: An epidemiologist's perspective on instrumental variable estimation.

Sonja A Swanson, Miguel A Hernán.   

Abstract

We appreciated Imbens' summary and reflections on the state of instrumental variable (IV) methods from an econometrician's perspective. His review was much needed as it clarified several issues that have been historically a source of confusion when individuals from different disciplines discussed IV methods. Among the many topics covered by Imbens, we would like to focus on the common choice of the local average treatment effect (LATE) over the "global" average treatment effect (ATE) in IV analyses of epidemiologic data. As Imbens acknowledges, this choice of the LATE as an estimand has been contentious (Angrist, Imbens and Rubin, 1996; Robins and Greenland, 1996; Deaton, 2010; Imbens, 2010; Pearl, 2011). Several authors have questioned the usefulness of the LATE for informing clinical practice and policy decisions, because it only pertains to an unknown subset of the population of interest: the so-called "compliers". To make things worse, many studies do not even report the expected proportion of compliers in the study population (Swanson and Hernán, 2013). Other authors have wondered whether the LATE is advocated for simply because of the relatively weaker assumptions required for its identification, analogous to the drunk who stays close to the lamp post and declares whatever he finds under its light is what he was looking for all along (Deaton, 2010). Here we explore the limitations of the LATE in the context of epidemiologic and public health research. First we discuss the relevance of LATE as an effect measure and conclude that it is not our primary choice. Second, we discuss the tenability of the monotonicity condition and conclude that this assumption is not a plausible one in many common settings. Finally, we propose further alternatives to the LATE, beyond those discussed by Imbens, that refocus on the global ATE in the population of interest.

Entities:  

Year:  2014        PMID: 25580054      PMCID: PMC4285626          DOI: 10.1214/14-sts491

Source DB:  PubMed          Journal:  Stat Sci        ISSN: 0883-4237            Impact factor:   2.901


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1.  Methodological Challenges When Studying Distance to Care as an Exposure in Health Research.

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Journal:  Am J Epidemiol       Date:  2019-09-01       Impact factor: 4.897

2.  The challenging interpretation of instrumental variable estimates under monotonicity.

Authors:  Sonja A Swanson; Miguel A Hernán
Journal:  Int J Epidemiol       Date:  2018-08-01       Impact factor: 7.196

3.  Definition and evaluation of the monotonicity condition for preference-based instruments.

Authors:  Sonja A Swanson; Matthew Miller; James M Robins; Miguel A Hernán
Journal:  Epidemiology       Date:  2015-05       Impact factor: 4.822

4.  Nature as a Trialist?: Deconstructing the Analogy Between Mendelian Randomization and Randomized Trials.

Authors:  Sonja A Swanson; Henning Tiemeier; M Arfan Ikram; Miguel A Hernán
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5.  Latent class instrumental variables: a clinical and biostatistical perspective.

Authors:  Stuart G Baker; Barnett S Kramer; Karen S Lindeman
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6.  Risk of Serious Infection With Low-dose Glucocorticoids in Patients With Rheumatoid Arthritis: An Instrumental Variable Analysis.

Authors:  Michael D George; Jesse Y Hsu; Sean Hennessy; Lang Chen; Fenglong Xie; Jeffrey R Curtis; Joshua F Baker
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7.  Bounding the per-protocol effect in randomized trials: an application to colorectal cancer screening.

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Review 10.  Causal null hypotheses of sustained treatment strategies: What can be tested with an instrumental variable?

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