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Odds ratios for mediation analysis for a dichotomous outcome.
For dichotomous outcomes, the authors discuss when the standard approaches to mediation analysis used in epidemiology and the social sciences are valid, and they provide alternative mediationExpand
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Conceptual issues concerning mediation, interventions and composition
Concepts concerning mediation in the causal inference literature are reviewed. Notions of direct and indirect effects from a counterfactual approach to mediation are compared with those arising fromExpand
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Mediation Analysis with Multiple Mediators
Abstract Recent advances in the causal inference literature on mediation have extended traditional approaches to direct and indirect effects to settings that allow for interactions andExpand
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Causal inference with general-ised structural mean models
We estimate cause-effect relationships in empirical research where exposures are not completely controlled, as in observational studies or with patient non-compliance and self-selected treatmentExpand
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A simple unified approach for estimating natural direct and indirect effects.
We introduce a simple procedure based on marginal structural models that directly parameterize the natural direct and indirect effects of interest. Expand
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Marginal structural models for partial exposure regimes.
Intensive care unit (ICU) patients are highly susceptible to hospital-acquired infections due to their poor health and many invasive therapeutic treatments. The effect on mortality of acquiring suchExpand
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Distribution of Human Papillomavirus in a Family Planning Population in Nairobi, Kenya
Background In sub-Saharan Africa, cervical cancer is the leading cancer among women. The causative role of different human papillomavirus (HPV) types in cervical cancer is established, but theExpand
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Effect decomposition in the presence of an exposure-induced mediator-outcome confounder.
Methods from causal mediation analysis have generalized the traditional approach to direct and indirect effects in the epidemiologic and social science literature by allowing for interaction andExpand
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Ignorance and uncertainty regions as inferential tools in a sensitivity analysis
It has long been recognised that most standard point estimators lean heavily on untestable assumptions when missing data are encountered. Statisticians have therefore advocated the use of sensitivityExpand
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Causal Mediation Analysis with Multiple Mediators
In diverse fields of empirical research—including many in the biological sciences—attempts are made to decompose the effect of an exposure on an outcome into its effects via a number of differentExpand
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