Marginal structural models for multilevel clustered data.
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DOI: 10.1093/biostatistics/kxac027
Abstract: Marginal structural models (MSMs), which adopt inverse probability treatment weighting in the estimating equations, are powerful tools to estimate the causal effects of time-varying exposures in the presence of time-dependent confounders. Motivated by the Conservation… read more here.
Keywords: models multilevel; time; clustered data; multilevel clustered ... See more keywords