Application of kappa statistics in sequential tests for family-based design

Authors : FARID RAJABLI

Pages : 1984-1991

View : 13 | Download : 14

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Family-based designs are commonly used in genetic association studies to locate markers associated with diseases. It is a challenging task to collect a large enough sample size, perform a statistical test, and obtain the desired statistical power. The sequential probability ratio test insert ignore into journalissuearticles values(SPRT); was introduced to overcome the limited sample size problem. However, the drawback of SPRT is that, for the sake of accuracy, the test leaves many markers in a gray zone meaning ``no decision``. In this article, we propose a novel approach: a sequential probability ratio test `plus` insert ignore into journalissuearticles values(SPRT$+);$ to reduce the number of these gray zone markers. Using simulated data, the results of SPRT$+$ are compared with the results of SPRT. SPRT$+$ shows a promising overall performance in identifying highly and moderately associated markers in the correct association region without a loss of accuracy.
Keywords : Markers, sequential probability ratio test, simulation study, family based association study, kappa statistics