Vaccine efficacy estimands and power considerations

The ICH E9(R1) addendum stresses the importance of clearly pre-specifying clinically interpretable treatment effect measures (estimands) and proposes different strategies to deal with intercurrent events. In this paper, we consider different estimands of the vaccine efficacy that are interpretable even when the proportional hazard assumption is not met, including estimands based on the average hazard ratio, the cumulative incidence ratio, and the restricted mean time lost ratio. Under the assumption that different estimands target relevant clinical questions, power becomes a crucial factor in choosing the preferred estimand. We focus on the power of these different estimands in vaccine efficacy trials, and we illustrate them in a human papillomavirus phase III vaccine trial. In classical settings of prophylactic vaccine efficacy trials, our results show that the average hazard ratio and cumulative incidence ratio give similar results, while the restricted mean time lost ratio is expected to be less powerful.

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Publication Details

Journal
Statistical Methods in Medical Research
Published
2026-04-02
DOI
https://doi.org/10.1177/09622802251412833
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Vaccine efficacy estimands and power considerations

Nathan W Bean, Andrea Callegaro
Statistical Methods in Medical Research
Statistical Methods in Clinical Trials
article

Vaccine efficacy estimands and power considerations

Nathan W Bean, Andrea Callegaro
article en

Abstract

The ICH E9(R1) addendum stresses the importance of clearly pre-specifying clinically interpretable treatment effect measures (estimands) and proposes different strategies to deal with intercurrent events. In this paper, we consider different estimands of the vaccine efficacy that are interpretable even when the proportional hazard assumption is not met, including estimands based on the average hazard ratio, the cumulative incidence ratio, and the restricted mean time lost ratio. Under the assumption that different estimands target relevant clinical questions, power becomes a crucial factor in choosing the preferred estimand. We focus on the power of these different estimands in vaccine efficacy trials, and we illustrate them in a human papillomavirus phase III vaccine trial. In classical settings of prophylactic vaccine efficacy trials, our results show that the average hazard ratio and cumulative incidence ratio give similar results, while the restricted mean time lost ratio is expected to be less powerful.

Statistical Methods in Medical Research
GlaxoSmithKline (Netherlands) (NL)
Good health and well-being
Openalex Percentile: Top 20%
Statistical Methods in Clinical Trials
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