Related Experiment Video
Updated: May 21, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Chapter 9: options for summarizing medical test performance in the absence of a "gold standard"
Thomas A Trikalinos1, Cynthia M Balion
1Center for Evidence-based Medicine, and Department of Health Service, Policy and Practice, Brown University, Providence, RI 02912, USA. thomas_trikalinos@brown.edu
Abstract:
The classical paradigm for evaluating test performance compares the results of an index test with a reference test. When the reference test does not mirror the "truth" adequately well (e.g. is an "imperfect" reference standard), the typical ("naïve") estimates of sensitivity and specificity are biased. One has at least four options when performing a systematic review of test performance when the reference standard is "imperfect": (a) to forgo the classical paradigm and assess the index test's ability to predict patient relevant outcomes instead of test accuracy (i.e., treat the index test as a predictive instrument); (b) to assess whether the results of the two tests (index and reference) agree or disagree (i.e., treat them as two alternative measurement methods); (c) to calculate "naïve" estimates of the index test's sensitivity and specificity from each study included in the review and discuss in which direction they are biased; (d) mathematically adjust the "naïve" estimates of sensitivity and specificity of the index test to account for the imperfect reference standard. We discuss these options and illustrate some of them through examples.
Related Concept Videos
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
McNemar's Test
Kaplan-Meier Approach
Comparing the Survival Analysis of Two or More Groups
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
Introduction to Nonparametric Statistics
One of...
