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An introduction to g methods.

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.

SUBMITTER: Naimi AI

PROVIDER: S-EPMC6074945 | biostudies-literature |

REPOSITORIES: biostudies-literature

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