The first marginal structural models were introduced in 2000. The works of James Robins, Babette Brumback, and Miguel Hernán provided an intuitive theory and an easy-to-implement software which …

They are marginal models, because they model the marginal distribution of the counterfactual random vari-ables Ya05 1 and Ya05 0 rather than the joint distribution (that is, models 1–3 do not model the …

What are marginal structural models? Why these names? “Marginal” in a sense that this class of models usually do not condition on other variables, but rely on the marginal distribution of the exposure while …

There is some confusion in the literature about this point: people seem to think, broadly, that if you’re fitting a marginal structural model, you are necessarily using some “advanced” technique like inverse …

Feb 24, 2021 · What steps are involved in estimating a marginal structural model? Define a parameter of interest that can be identified by the parameter(s) of a marginal structural model.

Feb 11, 2017 · Marginal structural models are a multi-step estimation procedure designed to control for the effect of confounding variables that change over time, and are affected by previous treatment.

There are two major approaches to adjusting for confounders: the conditional approach and the marginal approach. A key aspect to both approaches is the concept predictions, followed by a weighted …

We describe selected MSMs corresponding to common theoretical life-course models and identify key issues for consideration related to time-varying confounding and late study enrollment.

One method that can be extremely useful—especially in the case of time-varying treatments —is to use a marginal structural model.

‘Results of marginal structural models have similar interpretation as clinical trials (i.e. a marginal or population-level interpretation).