An Introduction to G Methods | Zendy

Ashley I. Naimi | Zendy; Stephen R. Cole | Zendy; Edward H. Kennedy | Zendy

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An Introduction to G Methods

Author(s) -

Ashley I. Naimi,

Stephen R. Cole,

Edward H. Kennedy

Publication year - 2016

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyw323

Subject(s) - logistic regression , identification (biology) , regression , statistics , linear regression , set (abstract data type) , econometrics , simple (philosophy) , computer science , medicine , mathematics , biology , epistemology , philosophy , botany , programming language

Robins' generalized methods (g methods) provide consistent estimates of contrasts (e.g. differences, ratios) of potential outcomes under a less restrictive set of identification conditions than do standard regression methods (e.g. linear, logistic, Cox regression). Uptake of g methods by epidemiologists has been hampered by limitations in understanding both conceptual and technical details. We present a simple worked example that illustrates basic concepts, while minimizing technical complications.

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