Efficient and multiply robust estimators are proposed for counterfactual cumulative incidence curves via data fusion of historical vaccine trial and immunobridging data, including cause-specific extensions for multi-serotype pathogens.
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Proposes semiparametric efficient augmented weighting estimators for causal effects under transportability of means or effect measures when appending external comparators to an index trial.
The target trial framework is extended with an explicit target population and sampling model component to support transparent planning and reporting of causal analyses that combine information from diverse data sources.
The paper formalizes identification strategies for potential outcome means and average treatment effects when merging experimental studies with external data sources.
citing papers explorer
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Efficient estimation of cumulative incidence curves via data fusion with surrogates: application to integrated analysis of vaccine trial and immunobridging data
Efficient and multiply robust estimators are proposed for counterfactual cumulative incidence curves via data fusion of historical vaccine trial and immunobridging data, including cause-specific extensions for multi-serotype pathogens.
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Constructing external comparator groups via transportability in mean or in effect measure
Proposes semiparametric efficient augmented weighting estimators for causal effects under transportability of means or effect measures when appending external comparators to an index trial.
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Using the target trial framework for combining information: external comparator analyses and other applications
The target trial framework is extended with an explicit target population and sampling model component to support transparent planning and reporting of causal analyses that combine information from diverse data sources.
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Identification strategies for combining an experimental study with external data
The paper formalizes identification strategies for potential outcome means and average treatment effects when merging experimental studies with external data sources.