Validating Quantitative Diagnostic Tests (17 Patients)

Abstract

The usual method for testing the strength of association between the x-data and y-data in a linear regression model, although widely applied for validating quantitative diagnostic tests, is inaccurate. Stricter criteria have to be applied for validation (For background information check Statistics applied to clinical studies 5th edition, Chap. 50, Springer Heidelberg, Germany, from the same authors). A stricter method to test the association between the new-test-data (the x-data) and the control-test-data (y-values) is required. First, from the equation y = a + bx it is tested whether the b-value is significantly different from 1,000, and the a-value is significantly different from 0,000.