标题： 非参数生存分析和基于Dempster-Shafer分析的疫苗效果 显示英文标题

标题： Nonparametric survival analysis and vaccine efficacy using Dempster-Shafer analysis

摘要： 我们引入了非参数DS推断在任意单变量CDF上的扩展，以处理一些失效时间是（右）删失的情况，然后将其应用于评估关于两个总体相对风险的声明的证据问题。 该方法使得可以探索生存分析对缺失数据过程和失效过程假设独立性的敏感性。 我们展示了一个部分有效的RV144（HIV-1）疫苗试验的应用，并表明疫苗效果结论的强度取决于对失访受试者最大失效率的假设。 显示英文摘要

摘要： We introduce an extension of nonparametric DS inference for arbitrary univariate CDFs to the case in which some failure times are (right)-censored, and then apply this to the problem of assessing evidence regarding assertions about relative risks across two populations. The approach enables exploration of the sensitivity of survival analyses to assumed independence of the missing data process and the failure proces. We present an application to the partially efficacious RV144 (HIV-1) vaccine trial, and show that the strength of conclusions of vaccine efficacy depend on assumptions about the maximum failure rates of the subjects lost-to-followup.