A0526
Title: Equivalence assessment via the difference between two AUCs in a matched-pair design with nonignorable missing endpoints
Authors: Yunqi Zhang - Yunnan University (China) [presenting]
Weili Cheng - North China University of Water Resources and Electric Power (China)
Puying Zhao - Yunnan University (China)
Abstract: Equivalence assessment via various indices, such as relative risk, has been widely studied in a matched-pair design with discrete or continuous endpoints over the past years. However, existing studies mainly focus on the fully observed or missing at random endpoints. Nonignorable missing endpoints are commonly encountered in a matched-pair design. To this end, several novel methods are proposed to assess the equivalence of two diagnostics via the difference between two correlated areas under ROC curves (AUCs) in a matched-pair design with nonignorable missing endpoints. An exponential tilting model is utilized to specify the nonignorable missing endpoint mechanism. Three nonparametric approaches and three semiparametric approaches are developed to estimate the difference between two correlated AUCs based on the kernel-regression imputation, inverse probability weighted (IPW), and augmented IPW methods. Under some regularity conditions, the consistency and asymptotic normality of the proposed estimators are shown. Simulation studies are conducted to study the performance of the proposed estimators. Empirical results show that the proposed methods outperform the complete-case method. An example from clinical studies is illustrated by the proposed methodologies.
