226 related articles for article (PubMed ID: 15588327)
1. Proportional odds ratio model for comparison of diagnostic tests in meta-analysis.
Siadaty MS; Shu J
BMC Med Res Methodol; 2004 Dec; 4(1):27. PubMed ID: 15588327
[TBL] [Abstract][Full Text] [Related]
2. Repeated-measures modeling improved comparison of diagnostic tests in meta-analysis of dependent studies.
Siadaty MS; Philbrick JT; Heim SW; Schectman JM
J Clin Epidemiol; 2004 Jul; 57(7):698-711. PubMed ID: 15358397
[TBL] [Abstract][Full Text] [Related]
3. Clinical trials: odds ratios and multiple regression models--why and how to assess them.
Sobh M; Cleophas TJ; Hadj-Chaib A; Zwinderman AH
Am J Ther; 2008; 15(1):44-52. PubMed ID: 18223353
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. A program for computing the prediction probability and the related receiver operating characteristic graph.
Jordan D; Steiner M; Kochs EF; Schneider G
Anesth Analg; 2010 Dec; 111(6):1416-21. PubMed ID: 21059744
[TBL] [Abstract][Full Text] [Related]
6. [Diagnostic accuracy].
Simundić AM
Acta Med Croatica; 2006; 60 Suppl 1():93-111. PubMed ID: 16526310
[TBL] [Abstract][Full Text] [Related]
7. Hierarchical models for ROC curve summary measures: design and analysis of multi-reader, multi-modality studies of medical tests.
Wang F; Gatsonis CA
Stat Med; 2008 Jan; 27(2):243-56. PubMed ID: 17340598
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Semi-parametric ROC regression analysis with placement values.
Cai T
Biostatistics; 2004 Jan; 5(1):45-60. PubMed ID: 14744827
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Bayesian bootstrap estimation of ROC curve.
Gu J; Ghosal S; Roy A
Stat Med; 2008 Nov; 27(26):5407-20. PubMed ID: 18613217
[TBL] [Abstract][Full Text] [Related]
12. Meta-analysis of ordinal outcomes using individual patient data.
Whitehead A; Omar RZ; Higgins JP; Savaluny E; Turner RM; Thompson SG
Stat Med; 2001 Aug; 20(15):2243-60. PubMed ID: 11468762
[TBL] [Abstract][Full Text] [Related]
13. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data.
Stijnen T; Hamza TH; Ozdemir P
Stat Med; 2010 Dec; 29(29):3046-67. PubMed ID: 20827667
[TBL] [Abstract][Full Text] [Related]
14. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method.
Zou KH; Resnic FS; Talos IF; Goldberg-Zimring D; Bhagwat JG; Haker SJ; Kikinis R; Jolesz FA; Ohno-Machado L
J Biomed Inform; 2005 Oct; 38(5):395-403. PubMed ID: 16198998
[TBL] [Abstract][Full Text] [Related]
15. A unification of multivariate methods for meta-analysis of genetic association studies.
Bagos PG
Stat Appl Genet Mol Biol; 2008; 7(1):Article31. PubMed ID: 18976227
[TBL] [Abstract][Full Text] [Related]
16. A marginal model approach for analysis of multi-reader multi-test receiver operating characteristic (ROC) data.
Song X; Zhou XH
Biostatistics; 2005 Apr; 6(2):303-12. PubMed ID: 15772108
[TBL] [Abstract][Full Text] [Related]
17. Robust combination of multiple diagnostic tests for classifying censored event times.
Cai T; Cheng S
Biostatistics; 2008 Apr; 9(2):216-33. PubMed ID: 18056687
[TBL] [Abstract][Full Text] [Related]
18. The use of the 'binormal' model for parametric ROC analysis of quantitative diagnostic tests.
Hanley JA
Stat Med; 1996 Jul; 15(14):1575-85. PubMed ID: 8855483
[TBL] [Abstract][Full Text] [Related]
19. Applying the law of iterated logarithm to control type I error in cumulative meta-analysis of binary outcomes.
Hu M; Cappelleri JC; Lan KK
Clin Trials; 2007; 4(4):329-40. PubMed ID: 17848494
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
