These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. Chen W; Metz CE; Giger ML; Drukker K IEEE Trans Med Imaging; 2010 Feb; 29(2):428-41. PubMed ID: 19822471 [TBL] [Abstract][Full Text] [Related]
3. Semiparametric empirical likelihood confidence intervals for the difference of areas under two correlated ROC curves under density ratio model. Zhang D; Zhang B Biom J; 2014 Jul; 56(4):678-96. PubMed ID: 24648388 [TBL] [Abstract][Full Text] [Related]
4. The analysis of placement values for evaluating discriminatory measures. Pepe MS; Cai T Biometrics; 2004 Jun; 60(2):528-35. PubMed ID: 15180681 [TBL] [Abstract][Full Text] [Related]
5. Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood. Morrell CH Biometrics; 1998 Dec; 54(4):1560-8. PubMed ID: 9883552 [TBL] [Abstract][Full Text] [Related]
6. Analysis of altered gait cycle duration in amyotrophic lateral sclerosis based on nonparametric probability density function estimation. Wu Y; Shi L Med Eng Phys; 2011 Apr; 33(3):347-55. PubMed ID: 21130016 [TBL] [Abstract][Full Text] [Related]
7. Nonparametric methods for analysing the accuracy of diagnostic tests with multiple readers. Kaufmann J; Werner C; Brunner E Stat Methods Med Res; 2005 Apr; 14(2):129-46. PubMed ID: 15807148 [TBL] [Abstract][Full Text] [Related]
8. Hypothesis testing in a mixture case-control model. Qin J; Liang KY Biometrics; 2011 Mar; 67(1):182-93. PubMed ID: 20345497 [TBL] [Abstract][Full Text] [Related]
9. Generalized covariance-adjusted discriminants: perspective and application. Tu XM; Kowalski J; Randall J; Mendoza-Blanco J; Shear MK; Monk TH; Frank E; Kupfer DJ Biometrics; 1997 Sep; 53(3):900-9. PubMed ID: 9290221 [TBL] [Abstract][Full Text] [Related]
10. Power and sample size estimation for the Wilcoxon rank sum test with application to comparisons of C statistics from alternative prediction models. Rosner B; Glynn RJ Biometrics; 2009 Mar; 65(1):188-97. PubMed ID: 18510654 [TBL] [Abstract][Full Text] [Related]
11. Prediction of an outcome using trajectories estimated from a linear mixed model. Maruyama N; Takahashi F; Takeuchi M J Biopharm Stat; 2009 Sep; 19(5):779-90. PubMed ID: 20183443 [TBL] [Abstract][Full Text] [Related]
14. Multivariate meta-analysis: a robust approach based on the theory of U-statistic. Ma Y; Mazumdar M Stat Med; 2011 Oct; 30(24):2911-29. PubMed ID: 21830230 [TBL] [Abstract][Full Text] [Related]
15. Confidence intervals for the generalized ROC criterion. Reiser B; Faraggi D Biometrics; 1997 Jun; 53(2):644-52. PubMed ID: 9235120 [TBL] [Abstract][Full Text] [Related]
16. A probabilistic model for the MRMC method, part 1: theoretical development. Clarkson E; Kupinski MA; Barrett HH Acad Radiol; 2006 Nov; 13(11):1410-21. PubMed ID: 17070460 [TBL] [Abstract][Full Text] [Related]
17. Nonparametric statistical inference method for partial areas under receiver operating characteristic curves, with application to genomic studies. He Y; Escobar M Stat Med; 2008 Nov; 27(25):5291-308. PubMed ID: 18646265 [TBL] [Abstract][Full Text] [Related]
18. Classification of longitudinal data through a semiparametric mixed-effects model based on lasso-type estimators. Arribas-Gil A; De la Cruz R; Lebarbier E; Meza C Biometrics; 2015 Jun; 71(2):333-43. PubMed ID: 25639332 [TBL] [Abstract][Full Text] [Related]
19. Equivalence of improvement in area under ROC curve and linear discriminant analysis coefficient under assumption of normality. Demler OV; Pencina MJ; D'Agostino RB Stat Med; 2011 May; 30(12):1410-8. PubMed ID: 21337594 [TBL] [Abstract][Full Text] [Related]
20. A permutation test sensitive to differences in areas for comparing ROC curves from a paired design. Bandos AI; Rockette HE; Gur D Stat Med; 2005 Sep; 24(18):2873-93. PubMed ID: 16134144 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]