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.
The extension to censored competing risks data follows straightforwardly when we sety(T) = I{T≤t,∆ =j}, j= 1
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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.