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.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
stat.ME 3verdicts
UNVERDICTED 3representative citing papers
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 paper formalizes identification strategies for potential outcome means and average treatment effects when merging experimental studies with external data sources.
citing papers explorer
-
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.
-
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.
-
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.