A local agreement pattern measure based on hazard functions for survival outcomes.

ABSTRACT: Assessing agreement is often of interest in biomedical and clinical research when measurements are obtained on the same subjects by different raters or methods. Most classical agreement methods have been focused on global summary statistics, which cannot be used to describe various local agreement patterns. The objective of this work is to study the local agreement pattern between two continuous measurements subject to censoring. In this article, we propose a new agreement measure based on bivariate hazard functions to characterize the local agreement pattern between two correlated survival outcomes. The proposed measure naturally accommodates censored observations, fully captures the dependence structure between bivariate survival times and provides detailed information on how the strengt

SUBMITTER: Dai T 

PROVIDER: S-EPMC5775068 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature