Literature DB >> 3579501

Performance of screening and diagnostic tests. Application of receiver operating characteristic analysis.

J M Murphy, D M Berwick, M C Weinstein, J F Borus, S H Budman, G L Klerman.   

Abstract

Evaluation of psychiatric screening and diagnostic tests has benefited from the application of sensitivity, specificity, the kappa-statistic, and predictive values. These measures derive their meaning from a single criterion threshold. Receiver operating characteristic (ROC) analysis extends assessment of test performance by providing information about all possible pairs of achievable sensitivity and specificity values. The ROC analysis offers a comprehensive means for comparing different tests or different scoring procedures for one test. As a demonstration we used the ROC analysis to evaluate three types of scoring rules for one psychiatric test, the Health Opinion Survey. The demonstration indicated that ROC analysis can profitably take a place among the standard methods for test evaluation in psychiatric research. In addition, ROC analysis can assist clinicians in selecting appropriate test procedures for particular patient populations.

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Year:  1987        PMID: 3579501     DOI: 10.1001/archpsyc.1987.01800180068011

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  51 in total

1.  Comparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach.

Authors:  Le Kang; Weijie Chen; Nicholas A Petrick; Brandon D Gallas
Journal:  Stat Med       Date:  2014-11-17       Impact factor: 2.373

2.  Validity of the Brief Symptom Inventory-18 (BSI-18) for identifying depression and anxiety in young adult cancer survivors: Comparison with a Structured Clinical Diagnostic Interview.

Authors:  Christopher J Recklitis; Jaime E Blackmon; Grace Chang
Journal:  Psychol Assess       Date:  2017-01-12

3.  Screening for mental disorders in cancer, cardiovascular and musculoskeletal diseases. Comparison of HADS and GHQ-12.

Authors:  Martin Härter; Sonja Woll; Alexandra Wunsch; Jürgen Bengel; Katrin Reuter
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-01-01       Impact factor: 4.328

4.  Which measure of adolescent psychiatric disorder--diagnosis, number of symptoms, or adaptive functioning--best predicts adverse young adult outcomes?

Authors:  A Vander Stoep; N S Weiss; B McKnight; S A A Beresford; P Cohen
Journal:  J Epidemiol Community Health       Date:  2002-01       Impact factor: 3.710

5.  Properties of the Cannabis Abuse Screening Test (CAST) in the general population.

Authors:  Stéphane Legleye; Romain Guignard; Jean-Baptiste Richard; Kraus Ludwig; Alexander Pabst; François Beck
Journal:  Int J Methods Psychiatr Res       Date:  2015-06       Impact factor: 4.035

6.  Measuring depression severity in general practice: discriminatory performance of the PHQ-9, HADS-D, and BDI-II.

Authors:  Isobel M Cameron; Amanda Cardy; John R Crawford; Schalk W du Toit; Steven Hay; Kenneth Lawton; Kenneth Mitchell; Sumit Sharma; Shilpa Shivaprasad; Sally Winning; Ian C Reid
Journal:  Br J Gen Pract       Date:  2011-07       Impact factor: 5.386

7.  Evaluation of the factor structure and psychometric properties of the Brief Symptom Inventory-18 with homebound older adults.

Authors:  Andrew J Petkus; Amber M Gum; Brent Small; Vanessa L Malcarne; Murray B Stein; Julie Loebach Wetherell
Journal:  Int J Geriatr Psychiatry       Date:  2010-06       Impact factor: 3.485

8.  The Worksite Health Promotion Capacity Instrument (WHPCI): development, validation and approaches for determining companies' levels of health promotion capacity.

Authors:  Julia Jung; Anika Nitzsche; Melanie Neumann; Markus Wirtz; Christoph Kowalski; Jürgen Wasem; Brigitte Stieler-Lorenz; Holger Pfaff
Journal:  BMC Public Health       Date:  2010-09-13       Impact factor: 3.295

9.  Predicting return to work in employees sick-listed due to minor mental disorders.

Authors:  Evelien P M Brouwers; Berend Terluin; Bea G Tiemens; Peter F M Verhaak
Journal:  J Occup Rehabil       Date:  2009-12

10.  Detecting depressive and anxiety disorders in distressed patients in primary care; comparative diagnostic accuracy of the Four-Dimensional Symptom Questionnaire (4DSQ) and the Hospital Anxiety and Depression Scale (HADS).

Authors:  Berend Terluin; Evelien P M Brouwers; Harm W J van Marwijk; Peter F M Verhaak; Henriëtte E van der Horst
Journal:  BMC Fam Pract       Date:  2009-08-23       Impact factor: 2.497

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