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Activity Number: 128 - SPEED: Biometrics and Biostatistics Part 1
Type: Contributed
Date/Time: Monday, July 29, 2019 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #306654 Presentation
Title: A Concordance Statistic for Survival Analysis with a Censored Predictor
Author(s): Kai Ding* and Justin Dvorak
Companies: University of Oklahoma Health Sciences Center and University of Oklahoma Health Sciences Center
Keywords: Censored predictor; Concordance; Survival data

We propose a concordance statistic in the setting of survival analysis with a censored predictor. Such a statistic can be useful for understanding the association between two censored variables intuitively. Asymptotic properties (consistency and asymptotic normality) are established. Simulation studies show that the proposed statistic performs well in the finite-sample setting, where a bootstrap-based variance estimator is used. Application in a cancer study is discussed.

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

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