Structural Nested Mean Models to Estimate the Effects of Time-Varying Treatments on Clustered Outcomes.

Abstract

In assessing the efficacy of a time-varying treatment structural nested models (SNMs) are useful in dealing with confounding by variables affected by earlier treatments. These models often consider treatment allocation and repeated measures at the individual level. We extend SNMMs to clustered observations with time-varying confounding and treatments. We… (More)
DOI: 10.1515/ijb-2014-0055

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