531 related articles for article (PubMed ID: 16198998)
1. 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]
2. Discrimination and calibration of mortality risk prediction models in interventional cardiology.
Matheny ME; Ohno-Machado L; Resnic FS
J Biomed Inform; 2005 Oct; 38(5):367-75. PubMed ID: 16198996
[TBL] [Abstract][Full Text] [Related]
3. Predicting dire outcomes of patients with community acquired pneumonia.
Cooper GF; Abraham V; Aliferis CF; Aronis JM; Buchanan BG; Caruana R; Fine MJ; Janosky JE; Livingston G; Mitchell T; Monti S; Spirtes P
J Biomed Inform; 2005 Oct; 38(5):347-66. PubMed ID: 16198995
[TBL] [Abstract][Full Text] [Related]
4. Minimum-norm estimation for binormal receiver operating characteristic (ROC) curves.
Davidov O; Nov Y
Biom J; 2009 Dec; 51(6):1030-46. PubMed ID: 19894216
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS.
Blanco R; Inza I; Merino M; Quiroga J; Larrañaga P
J Biomed Inform; 2005 Oct; 38(5):376-88. PubMed ID: 15967731
[TBL] [Abstract][Full Text] [Related]
8. The use of receiver operating characteristic curves in biomedical informatics.
Lasko TA; Bhagwat JG; Zou KH; Ohno-Machado L
J Biomed Inform; 2005 Oct; 38(5):404-15. PubMed ID: 16198999
[TBL] [Abstract][Full Text] [Related]
9. Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room.
Jaimes F; Farbiarz J; Alvarez D; Martínez C
Crit Care; 2005 Apr; 9(2):R150-6. PubMed ID: 15774048
[TBL] [Abstract][Full Text] [Related]
10. Surgical quality improvement: a simplified method to apply national standards to pediatric trauma care.
Leaphart CL; Graham D; Pieper P; Celso BG; Tepas JJ
J Pediatr Surg; 2009 Jan; 44(1):156-9. PubMed ID: 19159735
[TBL] [Abstract][Full Text] [Related]
11. A new parametric method based on S-distributions for computing receiver operating characteristic curves for continuous diagnostic tests.
Sorribas A; March J; Trujillano J
Stat Med; 2002 May; 21(9):1213-35. PubMed ID: 12111875
[TBL] [Abstract][Full Text] [Related]
12. Comparison of artificial neural networks with logistic regression in prediction of in-hospital death after percutaneous transluminal coronary angioplasty.
Freeman RV; Eagle KA; Bates ER; Werns SW; Kline-Rogers E; Karavite D; Moscucci M
Am Heart J; 2000 Sep; 140(3):511-20. PubMed ID: 10966555
[TBL] [Abstract][Full Text] [Related]
13. Validation of a transfusion prediction model in head and neck cancer surgery.
Krupp NL; Weinstein G; Chalian A; Berlin JA; Wolf P; Weber RS
Arch Otolaryngol Head Neck Surg; 2003 Dec; 129(12):1297-302. PubMed ID: 14676155
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Serious renal dysfunction after percutaneous coronary interventions can be predicted.
Brown JR; DeVries JT; Piper WD; Robb JF; Hearne MJ; Ver Lee PM; Kellet MA; Watkins MW; Ryan TJ; Silver MT; Ross CS; MacKenzie TA; O'Connor GT; Malenka DJ;
Am Heart J; 2008 Feb; 155(2):260-6. PubMed ID: 18215595
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Evaluation of prognostic clinical and ECG parameters in patients after myocardial infarction by applying logistic regression method.
Urbonaviciene G; Urbonavicius S; Vorum H; Bluzaite I; Jarusevicius G; Honoré B; Tamosiunaite M
Pacing Clin Electrophysiol; 2008 Nov; 31(11):1391-8. PubMed ID: 18950295
[TBL] [Abstract][Full Text] [Related]
19. A preoperative and intraoperative predictive model of prolonged intensive care unit stay for valvular surgery.
Xu J; Ge Y; Pan S; Liu F; Shi Y
J Heart Valve Dis; 2006 Mar; 15(2):219-24. PubMed ID: 16607904
[TBL] [Abstract][Full Text] [Related]
20. A decision support system to facilitate management of patients with acute gastrointestinal bleeding.
Chu A; Ahn H; Halwan B; Kalmin B; Artifon EL; Barkun A; Lagoudakis MG; Kumar A
Artif Intell Med; 2008 Mar; 42(3):247-59. PubMed ID: 18063351
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
