Work

A robust permutation test for the concordance correlation coefficient

Year: 2021

Type: article

Abstract: In this work, we developed a robust permutation test for the concordance correlation coefficient (ρc) for testing the general hypothesis H0 : ρc = ρc(0). The proposed test is based on an appropriately studentized statistic. Theoretically, the test is proven to be asymptotically valid in the general setting when two paired variables are uncorrelated but dependent. This desired property was demonstrated across a range of distributional assumptions and sample sizes in simulation studies, where the test exhibits robust type I error control in all settings tested, even when the sample size is small. We demonstrated the application of this test in two real world examples across cardiac output measurements and endocardiographic imaging.

Source: Pharmaceutical Statistics

DOI: 10.1002/pst.2101

Authors: Alan D. Hutson, Han Yu

Institution: Roswell Park Comprehensive Cancer Center

Language: English

Topic: Reliability and Agreement in Measurement

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $4,200

Funders: National Institutes of Health, National Cancer Institute