Assessment of equivalence using a concordance correlation coefficient in a repeated measurements design.
Some assay validation studies are conducted to assess agreement between repeated, paired continuous data measured on the same subject with different measurement systems. The goal of these studies is to show that there is an acceptable level of agreement between the measurement systems. Equivalence testing is a reasonable approach in assay validation. In this article, we use an equivalence-testing criterion based on a decomposition of a concordance correlation coefficient proposed by Lin (1989, 1992). Using a variance components approach, we develop bounds for conducting statistical tests using the proposed equivalence criterion. We conduct a simulation study to assess the performance of the bounds. The criteria are the ability to maintain the stated test size and the simulated power of the tests using these bounds. Bounds that perform well for small sample size are preferred. We present a computational example to demonstrate the methods described in the article.
Quiroz
Jorge
J
Preclinical Statistics, Wyeth Research, Pearl River, New York 10965, USA. QuirozJ@wyeth.com
D000704:Analysis of Variance; D003198:Computer Simulation; D015233:Models, Statistical; D015203:Reproducibility of Results; D012107:Research Design / Q000706:statistics & numerical data*; D013810:Therapeutic Equivalency