Key result
Simulation experiments demonstrated that the statistical power of the Principal Stratification approach for assessing correlates of protection decreases as vaccine efficacy increases.
Why the study?
Rare infections in trials of vaccines with very high efficacy pose challenges for conventional statistical methods assessing correlates of protection, prompting investigation of its impact on Principal stratification.
Validating principal surrogates for vaccines with very high efficacy can be challenging due to decreased statistical power.
Caution advised for Principal Stratification with high-efficacy vaccines; extends methodological guidance for correlates of protection analyses.
Objectives The use of correlates of protection (CoPs) in vaccination trials offers significant advantages as useful clinical endpoint substitutes. Vaccines with very high vaccine efficacy (VE) are documented in the literature (95% or above). Callegaro, A., and F. Tibaldi. 2019. “Assessing Correlates of Protection in Vaccine Trials: Statistical Solutions in the Context of High Vaccine Efficacy.” BMC Medical Research Methodology 19: 47 showed that the rare infections observed in the vaccinated groups of these trials poses challenges when applying conventionally-used statistical methods for CoP assessment such as the Prentice criteria and meta-analysis. The objective of this work is to investigate the impact of this problem on another statistical method for the assessment of CoPs called Principal stratification. Methods We perform simulation experiments to investigate the effect of high vaccine efficacy on the performance of the Principal Stratification approach. Results Similarly to the Prentice framework, simulation results show that the power of the Principal Stratification approach decreases when the VE grows. Conclusions It can be challenging to validate principal surrogates (and statistical surrogates) for vaccines with very high vaccine efficacy.
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Callegaro et al. (2021) studied Vaccine efficacy. Principal Stratification approach was evaluated on Power of the Principal Stratification approach. Simulation experiments demonstrated that the statistical power of the Principal Stratification approach for assessing correlates of protection decreases as vaccine efficacy increases.
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