Alternative causal inference methods in population health research: Evaluating tradeoffs and triangulating evidence

Alternative causal inference methods in population health research: Evaluating tradeoffs and triangulating evidence

Abstract:: Population health researchers from different fields often address similar substantive questions but rely on different study designs, reflecting their home disciplines. This is especially true in studies involving causal inference, for which semantic and substantive differences inhibit int...

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Bibliographic Details
Main Authors: Ellicott C. Matthay, Erin Hagan, Laura M. Gottlieb, May Lynn Tan, David Vlahov, Nancy E. Adler, M. Maria Glymour
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:SSM: Population Health
Subjects:
Causal inference
Quasi-experiment
Instrumental variable
Econometrics
Epidemiologic methods
Threats to validity
Online Access:http://www.sciencedirect.com/science/article/pii/S2352827319301545

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http://www.sciencedirect.com/science/article/pii/S2352827319301545

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