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Activity Number:
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150
- COVID-19 Vaccine Statistics: A Reflection on a Year at Warp Speed
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Type:
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Invited
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Date/Time:
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Tuesday, August 10, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Biometrics Section
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Abstract #317663
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Title:
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Inference for Natural Mediation Effects Under Case-Cohort Sampling with Applications in Identifying COVID-19 Vaccine Correlates of Protection
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Author(s):
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Ivan Diaz*
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Companies:
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Weill Cornell Medical College
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Keywords:
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vaccines;
COVID-19;
one-step estimation;
efficiency theory
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Abstract:
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Combating the SARS-CoV2 pandemic will require the fast development of effective preventive vaccines. Regulatory agencies may open accelerated approval pathways for vaccines if an immunological marker can be established as a mediator of a vaccine's protection. A rich source of information for identifying such correlates are large-scale efficacy trials of COVID-19 vaccines, where immune responses are measured subject to a case-cohort sampling design. We propose two approaches to estimation of mediation parameters in the context of case-cohort sampling designs. We establish the theoretical large-sample efficiency of our proposed estimators and evaluate them in a realistic simulation to understand whether they can be employed in the analysis of COVID-19 vaccine efficacy trials.
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Authors who are presenting talks have a * after their name.
