1371 related articles for article (PubMed ID: 16168343)
1. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews.
Reitsma JB; Glas AS; Rutjes AW; Scholten RJ; Bossuyt PM; Zwinderman AH
J Clin Epidemiol; 2005 Oct; 58(10):982-90. PubMed ID: 16168343
[TBL] [Abstract][Full Text] [Related]
2. Bivariate random effects meta-analysis of ROC curves.
Arends LR; Hamza TH; van Houwelingen JC; Heijenbrok-Kal MH; Hunink MG; Stijnen T
Med Decis Making; 2008; 28(5):621-38. PubMed ID: 18591542
[TBL] [Abstract][Full Text] [Related]
3. Empirical Bayes estimates generated in a hierarchical summary ROC analysis agreed closely with those of a full Bayesian analysis.
Macaskill P
J Clin Epidemiol; 2004 Sep; 57(9):925-32. PubMed ID: 15504635
[TBL] [Abstract][Full Text] [Related]
4. Summary ROC curve based on a weighted Youden index for selecting an optimal cutpoint in meta-analysis of diagnostic accuracy.
Rücker G; Schumacher M
Stat Med; 2010 Dec; 29(30):3069-78. PubMed ID: 21170902
[TBL] [Abstract][Full Text] [Related]
5. Summary receiver operating characteristics (SROC) and hierarchical SROC models for analysis of diagnostic test evaluations of antibody ELISAs for paratuberculosis.
Toft N; Nielsen SS
Prev Vet Med; 2009 Nov; 92(3):249-55. PubMed ID: 19747743
[TBL] [Abstract][Full Text] [Related]
6. Differences between univariate and bivariate models for summarizing diagnostic accuracy may not be large.
Simel DL; Bossuyt PM
J Clin Epidemiol; 2009 Dec; 62(12):1292-300. PubMed ID: 19447007
[TBL] [Abstract][Full Text] [Related]
7. [Diagnostic value of anti-alpha-fodrin antibody testing for Sjögren's syndrome: a meta-analysis].
Huang QS; LE AP; Luo ZQ; Li JM; Wang WQ; Ju BH; Wan LG
Zhonghua Yi Xue Za Zhi; 2008 Nov; 88(42):2971-6. PubMed ID: 19080074
[TBL] [Abstract][Full Text] [Related]
8. The partial area under the summary ROC curve.
Walter SD
Stat Med; 2005 Jul; 24(13):2025-40. PubMed ID: 15900606
[TBL] [Abstract][Full Text] [Related]
9. Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach.
Chu H; Cole SR
J Clin Epidemiol; 2006 Dec; 59(12):1331-2; author reply 1332-3. PubMed ID: 17098577
[No Abstract] [Full Text] [Related]
10. Evidence-based medicine, systematic reviews, and guidelines in interventional pain management: part 6. Systematic reviews and meta-analyses of observational studies.
Manchikanti L; Datta S; Smith HS; Hirsch JA
Pain Physician; 2009; 12(5):819-50. PubMed ID: 19787009
[TBL] [Abstract][Full Text] [Related]
11. Diagnostic accuracy of fine-needle aspiration cytology of palpable breast masses: an SROC curve with fixed and random effects linear meta-regression models.
Akçil M; Karaağaoğlu E; Demirhan B
Diagn Cytopathol; 2008 May; 36(5):303-10. PubMed ID: 18418880
[TBL] [Abstract][Full Text] [Related]
12. Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trials.
Jones AP; Riley RD; Williamson PR; Whitehead A
Clin Trials; 2009 Feb; 6(1):16-27. PubMed ID: 19254930
[TBL] [Abstract][Full Text] [Related]
13. A mixed model approach to meta-analysis of diagnostic studies with binary test outcome.
Doebler P; Holling H; Böhning D
Psychol Methods; 2012 Sep; 17(3):418-36. PubMed ID: 22582866
[TBL] [Abstract][Full Text] [Related]
14. Meta-analysis of diagnostic accuracy studies accounting for disease prevalence: alternative parameterizations and model selection.
Chu H; Nie L; Cole SR; Poole C
Stat Med; 2009 Aug; 28(18):2384-99. PubMed ID: 19499551
[TBL] [Abstract][Full Text] [Related]
15. A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution.
Nikoloulopoulos AK
Stat Med; 2015 Dec; 34(29):3842-65. PubMed ID: 26234584
[TBL] [Abstract][Full Text] [Related]
16. Three approaches to regression analysis of receiver operating characteristic curves for continuous test results.
Pepe MS
Biometrics; 1998 Mar; 54(1):124-35. PubMed ID: 9544511
[TBL] [Abstract][Full Text] [Related]
17. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data.
Walter SD
Stat Med; 2002 May; 21(9):1237-56. PubMed ID: 12111876
[TBL] [Abstract][Full Text] [Related]
18. We should not pool diagnostic likelihood ratios in systematic reviews.
Zwinderman AH; Bossuyt PM
Stat Med; 2008 Feb; 27(5):687-97. PubMed ID: 17611957
[TBL] [Abstract][Full Text] [Related]
19. Meta-analyses of studies of the diagnostic accuracy of laboratory tests: a review of the concepts and methods.
Vamvakas EC
Arch Pathol Lab Med; 1998 Aug; 122(8):675-86. PubMed ID: 9701328
[TBL] [Abstract][Full Text] [Related]
20. Mixture models in diagnostic meta-analyses--clustering summary receiver operating characteristic curves accounted for heterogeneity and correlation.
Schlattmann P; Verba M; Dewey M; Walther M
J Clin Epidemiol; 2015 Jan; 68(1):61-72. PubMed ID: 25441701
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
