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- Title
An introduction to g methods.
- Authors
Naimi, Ashley I.; Cole, Stephen R.; Kennedy, Edward H.
- Abstract
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.
- Subjects
LOGISTIC regression analysis; REGRESSION analysis; LOGISTICS; MONTE Carlo method; EPIDEMIOLOGISTS; ATTRIBUTION (Social psychology); COMPUTER simulation; EPIDEMIOLOGICAL research; RESEARCH funding; STATISTICAL models; CONFOUNDING variables
- Publication
International Journal of Epidemiology, 2017, Vol 46, Issue 2, p756
- ISSN
0300-5771
- Publication type
journal article
- DOI
10.1093/ije/dyw323