Evaluating the agreement of two quantitative assays with repeated measurements.
A common task in assay validation is to show the agreement between an assay under investigation and a reference assay. Hence, in the hypothesis setup, we should choose nonagreement as the null hypothesis so that when the null hypothesis is rejected at 5% level of significance, we have a 95% statistical assurance to claim the agreement between two assays. In this paper, we propose a statistical test with nonagreement as the null hypothesis. The calculation of sample size is also given. Some simulation results are provided for illustration.
Zhong
Bob
B
NeoPharm, Inc., Lake Forest, Illinois 60045, USA. bzhong@neophrm.com
Shao
Jun
J
D001699:Biometry / Q000379:methods*; D002784:Cholesterol / Q000032:analysis / Q000097:blood; D003198:Computer Simulation; D006403:Hematologic Tests / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D015233:Models, Statistical; D015203:Reproducibility of Results; D018401:Sample Size
D002784:Cholesterol