{"title":"Principal surrogates in context of high vaccine efficacy","authors":"A. Callegaro, F. Tibaldi, D. Follmann","doi":"10.21203/rs.2.16785/v1","DOIUrl":null,"url":null,"abstract":"Abstract 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.","PeriodicalId":74867,"journal":{"name":"Statistical communications in infectious diseases","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical communications in infectious diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21203/rs.2.16785/v1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract 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.