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Activity Number: 338 - Semiparametric and Non-Parametric Methods in Survival Analysis
Type: Contributed
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
Sponsor: Biometrics Section
Abstract #313053
Title: Influence Function-Based Empirical Likelihood Inference for Quantile Medical Costs with Censored Data
Author(s): Gengsheng Qin* and Jenny Jeyarajah and Guanhao Wei
Companies: Georgia State University and Georgia State University and Georgia State University
Keywords: Censored data; empirical likelihood; influence function; quantile medical costs; Jackknife

In this paper, we propose empirical likelihood methods based on influence function and Jackknife techniques to construct confidence intervals for quantile medical costs with censored data. We show that the influence function-based empirical log-likelihood ratio statistic for the quantile medical cost has a standard Chi-square distribution as its asymptotic distribution. Simulation studies are conducted to compare coverage probabilities and interval lengths of the proposed empirical likelihood confidence intervals with the existing normal approximation-based confidence intervals for quantile medical costs. The proposed methods are observed to have better finite-sample performances than existing methods. The new methods are also illustrated through a real example

Authors who are presenting talks have a * after their name.

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