title: A short note on jackknifing the concordance correlation coefficient.
abstract: Lin's concordance correlation coefficient (CCC) is a very popular scaled index of agreement used in applied statistics. To obtain a confidence interval (CI) for the estimate of CCC, jackknifing was proposed and shown to perform well in simulation as well as in applications. However, a theoretical proof of the validity of the jackknife CI for the CCC has not been presented yet. In this note, we establish a sufficient condition for using the jackknife method to construct the CI for the CCC.
authors.affiliation: Biometrics Research, Merck Research Lab., Rahway, NJ, U.S.A.
authors.forename: Dai
authors.initials: D
authors.lastname: Feng
authors.forename: Richard
authors.initials: R
authors.lastname: Baumgartner
authors.forename: Vladimir
authors.initials: V
authors.lastname: Svetnik
mesh_terms: D016001:Confidence Intervals; D013223:Statistics as Topic / Q000379:methods*
keywords: U-statistics; concordance correlation coefficient; jackknife