{"title":"A Note on the Use of the Bootstrap for Cost Effectiveness Analysis.","authors":"Eduardo Fé, S. Peters","doi":"10.2139/ssrn.2994865","DOIUrl":null,"url":null,"abstract":"This note reconciles existing evidence on the abilities of the bootstrap with its use in the cost-effectiveness literature. We emphasise the role played by pivotal statistics to explain the ability of the bootstrap to provide asymptotic refinements for the Incremental Net Benefit statistic. The discussion is illustrated with a Monte Carlo experiment.","PeriodicalId":11744,"journal":{"name":"ERN: Nonparametric Methods (Topic)","volume":"104 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Nonparametric Methods (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2994865","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
This note reconciles existing evidence on the abilities of the bootstrap with its use in the cost-effectiveness literature. We emphasise the role played by pivotal statistics to explain the ability of the bootstrap to provide asymptotic refinements for the Incremental Net Benefit statistic. The discussion is illustrated with a Monte Carlo experiment.