John Mullahy1, Atheendar Venkataramani2, Daniel L Millimet3, Charles F Manski4. 1. Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin. Electronic address: jmullahy@wisc.edu. 2. Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. 3. Department of Economics, Southern Methodist University, Dallas, Texas. 4. Department of Economics and Institute for Policy Research, Northwestern University, Evanston, Illinois.
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.
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.
Authors: Ramzi G Salloum; Todd H Wagner; Amanda M Midboe; Sarah I Daniels; Andrew Quanbeck; David A Chambers Journal: Implement Sci Commun Date: 2022-09-24