Embracing Uncertainty: The Value of Partial Identification in Public Health and Clinical Research

John Mullahy; Atheendar Venkataramani; Daniel L. Millimet; Charles F. Manski

doi:10.1016/j.amepre.2021.01.041

Embracing Uncertainty: The Value of Partial Identification in Public Health and Clinical Research

John Mullahy^*, Atheendar Venkataramani, Daniel L. Millimet, Charles F. Manski

^*Corresponding author for this work

Economics

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Abstract

Introduction: This paper describes the methodology of partial identification and its applicability to empirical research in preventive medicine and public health. Methods: The authors summarize findings from the methodologic literature on partial identification. The analysis was conducted in 2020–2021. Results: The applicability of partial identification methods is demonstrated using 3 empirical examples drawn from published literature. Conclusions: Partial identification methods are likely to be of considerable interest to clinicians and others engaged in preventive medicine and public health research.

Original language	English (US)
Pages (from-to)	e103-e108
Journal	American Journal of Preventive Medicine
Volume	61
Issue number	2
DOIs	https://doi.org/10.1016/j.amepre.2021.01.041
State	Published - Aug 2021

ASJC Scopus subject areas

Epidemiology
Public Health, Environmental and Occupational Health

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.amepre.2021.01.041

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Embracing Uncertainty: The Value of Partial Identification in Public Health and Clinical Research

Abstract

ASJC Scopus subject areas

UN SDGs

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