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- Marginal_structural_model abstract "Marginal structural models are a class of statistical models used for causal inference in epidemiology. Such models handle the issue of time-dependent confounding in evaluation of the efficacy of interventions by inverse probability weighting for receipt of treatment. For instance, in the study of the effect of zidovudine in AIDS-related mortality, CD4 lymphocyte is used both for treatment indication, is influenced by treatment, and affects survival. Time-dependent confounders are typically highly prognostic of health outcomes and applied in dosing or indication for certain therapies, such as body weight or lab values such as alanine aminotransferase or bilirubin.".
- Marginal_structural_model wikiPageID "39926929".
- Marginal_structural_model wikiPageRevisionID "592440332".
- Marginal_structural_model subject Category:Probability_and_statistics.
- Marginal_structural_model comment "Marginal structural models are a class of statistical models used for causal inference in epidemiology. Such models handle the issue of time-dependent confounding in evaluation of the efficacy of interventions by inverse probability weighting for receipt of treatment. For instance, in the study of the effect of zidovudine in AIDS-related mortality, CD4 lymphocyte is used both for treatment indication, is influenced by treatment, and affects survival.".
- Marginal_structural_model label "Marginal structural model".
- Marginal_structural_model sameAs m.0w7qbxp.
- Marginal_structural_model sameAs Q16963953.
- Marginal_structural_model sameAs Q16963953.
- Marginal_structural_model wasDerivedFrom Marginal_structural_model?oldid=592440332.
- Marginal_structural_model isPrimaryTopicOf Marginal_structural_model.