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Structural Nested Models and G-estimation: The Partially Realized Promise
2014
Statistical Science
Structural nested models (SNMs) and the associated method of G-estimation were first proposed by James Robins over two decades ago as approaches to modeling and estimating the joint effects of a sequence of treatments or exposures. The models and estimation methods have since been extended to dealing with a broader series of problems, and have considerable advantages over the other methods developed for estimating such joint effects. Despite these advantages, the application of these methods in
doi:10.1214/14-sts493
fatcat:naavthsdrzaq5hdq5gkzhdtvbq