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Inferences on relative failure rates in stratified mark-specific proportional hazards models with missing marks, with application to human immunodeficiency virus vaccine efficacy trials

机译:带有标记缺失的分层标记特定比例风险模型中相对故障率的推论,并应用于人类免疫缺陷病毒疫苗功效试验

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The paper develops hypothesis testing procedures for the stratified mark-specific proportional hazards model in the presence of missing marks. The motivating application is preventive human immunodeficiency virus (HIV) vaccine efficacy trials, where the mark is the genetic distance of an infecting HIV sequence to an HIV sequence represented inside the vaccine. The test statistics are constructed on the basis of two-stage efficient estimators, which utilize auxiliary predictors of the missing marks. The asymptotic properties and finite sample performances of the testing procedures are investigated, demonstrating double robustness and effectiveness of the predictive auxiliaries to recover efficiency. The methods are applied to the RV144 vaccine trial.
机译:本文针对存在缺失标记的分层标记特定比例风险模型开发了假设检验程序。激励性的应用是预防性人类免疫缺陷病毒(HIV)疫苗功效试验,其中标记是感染HIV序列与疫苗内部代表的HIV序列的遗传距离。检验统计数据是基于两阶段有效估计量构建的,该估计量利用了缺失标记的辅助预测量。研究了测试程序的渐近性质和有限的样本性能,证明了预测助剂恢复效率的双重鲁棒性和有效性。该方法适用于RV144疫苗试验。

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