Repeated-measures modeling improved comparison of diagnostic tests in meta-analysis of dependent studies

Journal of Clinical Epidemiology

Volumn 57, Issue 7, 2004, Pages 698-711

  Siadaty, Mir Said ^a   Philbrick, John T ^a   Heim, Steven W ^b   Schectman, Joel M ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Diagnostic test; DOR; Marginal model; Meta analysis; Repeated measurement

Indexed keywords

D DIMER;

ARTICLE; CLINICAL TRIAL; CORRELATION ANALYSIS; DEEP VEIN THROMBOSIS; DIAGNOSTIC TEST; HUMAN; META ANALYSIS; PATIENT CODING; PRIORITY JOURNAL; RISK; STANDARD; STATISTICAL ANALYSIS;

BIOLOGICAL MARKERS; DATA INTERPRETATION, STATISTICAL; DIAGNOSTIC TESTS, ROUTINE; FIBRIN FIBRINOGEN DEGRADATION PRODUCTS; HUMANS; META-ANALYSIS; MODELS, STATISTICAL; VENOUS THROMBOSIS;

EID: 4444373662     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2003.12.007     Document Type: Article

References (13)

1. Deeks J.J. Systematic reviews of evaluations of diagnostic and screening tests. BMJ. 323:2001;157-162
2. Hasselblad V., Hedges L.V. Meta-analysis of screening and diagnostic tests. Psychol Bull. 117:(1):1995;167-178
3. Moses L.E., Shapiro D., Littenberg B. Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med. 30:1993;1293-1316
4. Walter S.D. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data. Stat Med. 21:2002;1237-1256
5. Heim S.W., Philbrick J.T. D-dimer assays for deep venous thrombosis: a systematic review. J Gen Intern Med. 17:(Suppl 1):2002;112
6. Littenberg B., Moses L.E. Estimating diagnostic accuracy from multiple conflicting reports: a new meta-analytic method. Med Decis Making. 13:(4):1993;313-321
7. Littell R.C., Milliken G.A., Stroup W.W., Wolfinger R.D. SAS system for mixed models. 1996;SAS Institute Inc., Cary (NC)
8. Diggle P., Heagerty P., Liang K.-Y., Zeger S. Analysis of longitudinal data. 2nd edition:2002;Oxford University Press, New York. p. 142-7
9. Huber P.J. The behavior of maximum likelihood estimates under nonstandard conditions. Proc Fifth Berkeley Symp Math Stat. 1:1967;221-233
10. Davis W., Breslow N.E., Day N.E. Statistical methods in cancer research: the analysis of case-control studies (Iarc Scientific Publications, No. 32, reprint edition). 1993;Oxford University Press, New York. p. 142
11. SAS Institute Inc. SAS/STAT user's guide, version 8, vol. 2. 1999;SAS Institute Inc., Cary (NC)
12. Lee W.C. Probabilistic analysis of global performances of diagnostic tests: interpreting the Lorenz curve-based summary measures. Stat Med. 18:(4):1999;455-471
13. Ihaka R., Gentleman R. A language for data analysis and graphics. J Comput Graph Stat. 5:1996;299-314