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Literature DB >> 23291877

Net reclassification improvement: a link between statistics and clinical practice.

Maarten J G Leening¹, Nancy R Cook.

Abstract

Mesh：

Year: 2013 PMID： 23291877 DOI： 10.1007/s10654-012-9759-6

Source DB: PubMed Journal: Eur J Epidemiol ISSN： 0393-2990 Impact factor: 8.082

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27 in total

1. Improvement of risk prediction by genomic profiling: reclassification measures versus the area under the receiver operating characteristic curve.

Authors: Raluca Mihaescu; Moniek van Zitteren; Mandy van Hoek; Eric J G Sijbrands; André G Uitterlinden; Jacqueline C M Witteman; Albert Hofman; M G Myriam Hunink; Cornelia M van Duijn; A Cecile J W Janssens
Journal: Am J Epidemiol Date: 2010-06-18 Impact factor: 4.897

2. Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929).

Authors: Nancy R Cook
Journal: Stat Med Date: 2008-01-30 Impact factor: 2.373

3. Interpreting incremental value of markers added to risk prediction models.

Authors: Michael J Pencina; Ralph B D'Agostino; Karol M Pencina; A Cecile J W Janssens; Philip Greenland
Journal: Am J Epidemiol Date: 2012-08-08 Impact factor: 4.897

4. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors: Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal: Stat Med Date: 2010-11-05 Impact factor: 2.373

5. Evaluating the yield of medical tests.

Authors: F E Harrell; R M Califf; D B Pryor; K L Lee; R A Rosati
Journal: JAMA Date: 1982-05-14 Impact factor: 56.272

6. The threshold approach to clinical decision making.

Authors: S G Pauker; J P Kassirer
Journal: N Engl J Med Date: 1980-05-15 Impact factor: 91.245

7. Use and misuse of the receiver operating characteristic curve in risk prediction.

Authors: Nancy R Cook
Journal: Circulation Date: 2007-02-20 Impact factor: 29.690

8. A bias-corrected net reclassification improvement for clinical subgroups.

Authors: Nina P Paynter; Nancy R Cook
Journal: Med Decis Making Date: 2012-10-05 Impact factor: 2.583

9. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures.

Authors: Nancy R Cook; Paul M Ridker
Journal: Ann Intern Med Date: 2009-06-02 Impact factor: 25.391

10. One statistical test is sufficient for assessing new predictive markers.

Authors: Andrew J Vickers; Angel M Cronin; Colin B Begg
Journal: BMC Med Res Methodol Date: 2011-01-28 Impact factor: 4.615

6 in total

1. The Rotterdam Study: 2016 objectives and design update.

Authors: Albert Hofman; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij
Journal: Eur J Epidemiol Date: 2015-09-19 Impact factor: 8.082

Review 2. The potential of novel biomarkers to improve risk prediction of type 2 diabetes.

Authors: Christian Herder; Bernd Kowall; Adam G Tabak; Wolfgang Rathmann
Journal: Diabetologia Date: 2014-01 Impact factor: 10.122

3. Predicting persistence to antidepressant treatment in administrative claims data: Considering the influence of refill delays and prior persistence on other medications.

Authors: Greta A Bushnell; Til Stürmer; Alice White; Virginia Pate; Sonja A Swanson; Deborah Azrael; Matthew Miller
Journal: J Affect Disord Date: 2016-02-09 Impact factor: 4.839