Andrew Hayen1, Petra Macaskill, Les Irwig, Patrick Bossuyt. 1. Screening and Test Evaluation Program, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia. ahayen@health.usyd.edu.au
Abstract
OBJECTIVE: To explain which measures of accuracy and which statistical methods should be used in studies to assess the value of a new binary test as a replacement test, an add-on test, or a triage test. STUDY DESIGN AND SETTING: Selection and explanation of statistical methods, illustrated with examples. RESULTS: Statistical methods for comparative diagnostic accuracy studies are described that take into account the purpose of the new diagnostic test. Methods are described within a framework that defines the major purpose of test comparison: assessing the value of a new test as a replacement test, an add-on test, or a triage test. Methods appropriate for both unpaired and paired study designs for binary test data are given, including regression modeling of diagnostic test accuracy. Implications for efficient study designs are also discussed. CONCLUSIONS: Appropriate selection of existing statistical methods is necessary to address research questions about the comparative accuracy of new tests. Copyright (c) 2010 Elsevier Inc. All rights reserved.
OBJECTIVE: To explain which measures of accuracy and which statistical methods should be used in studies to assess the value of a new binary test as a replacement test, an add-on test, or a triage test. STUDY DESIGN AND SETTING: Selection and explanation of statistical methods, illustrated with examples. RESULTS: Statistical methods for comparative diagnostic accuracy studies are described that take into account the purpose of the new diagnostic test. Methods are described within a framework that defines the major purpose of test comparison: assessing the value of a new test as a replacement test, an add-on test, or a triage test. Methods appropriate for both unpaired and paired study designs for binary test data are given, including regression modeling of diagnostic test accuracy. Implications for efficient study designs are also discussed. CONCLUSIONS: Appropriate selection of existing statistical methods is necessary to address research questions about the comparative accuracy of new tests. Copyright (c) 2010 Elsevier Inc. All rights reserved.
Authors: Randi F Fonager; Helle D Zacho; Niels C Langkilde; Joan Fledelius; June A Ejlersen; Christian Haarmark; Helle W Hendel; Mine Benedicte Lange; Mads R Jochumsen; Jesper C Mortensen; Lars J Petersen Journal: Am J Nucl Med Mol Imaging Date: 2017-11-01
Authors: Dirk Timmerman; Lieveke Ameye; Daniela Fischerova; Elisabeth Epstein; Gian Benedetto Melis; Stefano Guerriero; Caroline Van Holsbeke; Luca Savelli; Robert Fruscio; Andrea Alberto Lissoni; Antonia Carla Testa; Joan Veldman; Ignace Vergote; Sabine Van Huffel; Tom Bourne; Lil Valentin Journal: BMJ Date: 2010-12-14