Structural Nested Mean Models for Assessing Time‐Varying Effect Moderation

@article{Almirall2010StructuralNM,
  title={Structural Nested Mean Models for Assessing Time‐Varying Effect Moderation},
  author={Daniel Almirall and Thomas R. Ten Have and Susan A. Murphy},
  journal={Biometrics},
  year={2010},
  volume={66}
}
Summary This article considers the problem of assessing causal effect moderation in longitudinal settings in which treatment (or exposure) is time varying and so are the covariates said to moderate its effect. Intermediate causal effects that describe time‐varying causal effects of treatment conditional on past covariate history are introduced and considered as part of Robins' structural nested mean model. Two estimators of the intermediate causal effects, and their standard errors, are… 
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