BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 21308725)

  • 1. Discrimination measures for survival outcomes: connection between the AUC and the predictiveness curve.
    Viallon V; Latouche A
    Biom J; 2011 Mar; 53(2):217-36. PubMed ID: 21308725
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Survival model predictive accuracy and ROC curves.
    Heagerty PJ; Zheng Y
    Biometrics; 2005 Mar; 61(1):92-105. PubMed ID: 15737082
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.
    Pencina MJ; D'Agostino RB; D'Agostino RB; Vasan RS
    Stat Med; 2008 Jan; 27(2):157-72; discussion 207-12. PubMed ID: 17569110
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New time-dependent approach to analyse the prognostic significance of immunohistochemical biomarkers in colon cancer and diffuse large B-cell lymphoma.
    Adams H; Tzankov A; Lugli A; Zlobec I
    J Clin Pathol; 2009 Nov; 62(11):986-97. PubMed ID: 18977805
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combining predictors for classification using the area under the receiver operating characteristic curve.
    Pepe MS; Cai T; Longton G
    Biometrics; 2006 Mar; 62(1):221-9. PubMed ID: 16542249
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Estimation of time-dependent area under the ROC curve for long-term risk prediction.
    Chambless LE; Diao G
    Stat Med; 2006 Oct; 25(20):3474-86. PubMed ID: 16220486
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting risk of breast cancer in postmenopausal women by hormone receptor status.
    Chlebowski RT; Anderson GL; Lane DS; Aragaki AK; Rohan T; Yasmeen S; Sarto G; Rosenberg CA; Hubbell FA;
    J Natl Cancer Inst; 2007 Nov; 99(22):1695-705. PubMed ID: 18000216
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Constructing molecular classifiers for the accurate prognosis of lung adenocarcinoma.
    Guo L; Ma Y; Ward R; Castranova V; Shi X; Qian Y
    Clin Cancer Res; 2006 Jun; 12(11 Pt 1):3344-54. PubMed ID: 16740756
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Performance measures for prediction models and markers: evaluation of predictions and classifications].
    Steyerberg EW; Van Calster B; Pencina MJ
    Rev Esp Cardiol; 2011 Sep; 64(9):788-94. PubMed ID: 21763052
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Time-dependent ROC analysis under diverse censoring patterns.
    Li J; Ma S
    Stat Med; 2011 May; 30(11):1266-77. PubMed ID: 21538452
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Selecting a short-term prognostic model for hepatocellular carcinoma: comparison between the model for end-stage liver disease (MELD), MELD-sodium, and five cancer staging systems.
    Huo TI; Hsia CY; Huang YH; Lin HC; Lee PC; Lui WY; Chiang JH; Chiou YY; Loong CC; Lee SD
    J Clin Gastroenterol; 2009 Sep; 43(8):773-81. PubMed ID: 19262404
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SAS macros for point and interval estimation of area under the receiver operating characteristic curve for non-proportional and proportional hazards Weibull models.
    Mannan H; Stevenson C
    J Eval Clin Pract; 2010 Aug; 16(4):756-70. PubMed ID: 20545799
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validity of area-under-the-curve analysis to summarize effect in rheumatoid arthritis clinical trials.
    Pham B; Cranney A; Boers M; Verhoeven AC; Wells G; Tugwell P
    J Rheumatol; 1999 Mar; 26(3):712-6. PubMed ID: 10090188
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On the validity of time-dependent AUC estimators.
    Schmid M; Kestler HA; Potapov S
    Brief Bioinform; 2015 Jan; 16(1):153-68. PubMed ID: 24036698
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Limits of predictive models using microarray data for breast cancer clinical treatment outcome.
    Reid JF; Lusa L; De Cecco L; Coradini D; Veneroni S; Daidone MG; Gariboldi M; Pierotti MA
    J Natl Cancer Inst; 2005 Jun; 97(12):927-30. PubMed ID: 15956654
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Bayesian decision support model for assessment of endodontic treatment outcome.
    Suebnukarn S; Rungcharoenporn N; Sangsuratham S
    Oral Surg Oral Med Oral Pathol Oral Radiol Endod; 2008 Sep; 106(3):e48-58. PubMed ID: 18602284
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison of estimators to evaluate the discriminatory power of time-to-event models.
    Schmid M; Potapov S
    Stat Med; 2012 Oct; 31(23):2588-609. PubMed ID: 22829422
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.