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

FARID RAJABLI

Article Details

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

Authors:

FARID RAJABLI

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1984-1991

Document Type:

Article

Publication Date:

5/2016

Document Language:

Turkish

Document ID (Org No.):

2000742204

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

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 (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' (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.

Article Details

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

Authors: FARID RAJABLI

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1984-1991

Document Type: Article

Publication Date: 5/2016

Document Language: Turkish

Document ID (Org No.): 2000742204

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

FARID RAJABLI

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2016 Vol.24 Issue 3, pp.1984-1991

Document Type:

Article

Publication Date:

5/2016

Document Language:

Turkish

Document ID (Org No.):

2000742204

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632