A new functional representation of broad sense agreement

• Authors: Bo Wei, Emory University; Tai Dai, Emory University; Limin Peng, Emory University; Ying Guo, Emory University; Amita Manatunga, Emory University
• Journal Title: STATISTICS & PROBABILITY LETTERS
• Volume: Volume 158
• Publisher: ELSEVIER | 2020-03-01
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1016/j.spl.2019.108619
• Subjects: Biology, Biostatistics
• Keywords: Science & Technology; Physical Sciences; Statistics & Probability; Mathematics; Agreement; Broad sense agreement; Functional representation; Nonparametric estimation; Computational efficiency; CONCORDANCE CORRELATION-COEFFICIENT

Abstract

We derive a new functional representation of Broad Sense Agreement (BSA) index that evaluates the agreement/alignment between a continuous measurement and an ordinary measurement. Using this result, we develop an alternative BSA estimator, which can offer significant numerical advantages.