Literature DB >> 17671958

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).

M S Pepe1, Z Feng, J W Gu.   

Abstract

Mesh：

Year:  2008        PMID： 17671958     DOI： 10.1002/sim.2991

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


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  32 in total

1.  Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models.

Authors:  Michael J Pencina; Ralph B D'Agostino; Olga V Demler
Journal:  Stat Med       Date:  2011-12-07       Impact factor: 2.373

2.  Assessing the Incremental Role of Novel and Emerging Risk Factors.

Authors:  Nancy R Cook
Journal:  Curr Cardiovasc Risk Rep       Date:  2010-03-01

3.  Methods for evaluating novel biomarkers - a new paradigm.

Authors:  N R Cook
Journal:  Int J Clin Pract       Date:  2010-12       Impact factor: 2.503

4.  Role of Coronary Artery Calcium Score of Zero and Other Negative Risk Markers for Cardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Michael J Blaha; Miguel Cainzos-Achirica; Philip Greenland; John W McEvoy; Ron Blankstein; Matthew J Budoff; Zeina Dardari; Christopher T Sibley; Gregory L Burke; Richard A Kronmal; Moyses Szklo; Roger S Blumenthal; Khurram Nasir
Journal:  Circulation       Date:  2016-01-22       Impact factor: 29.690

5.  Estimating the capacity for improvement in risk prediction with a marker.

Authors:  Wen Gu; Margaret Sullivan Pepe
Journal:  Biostatistics       Date:  2008-08-19       Impact factor: 5.899

6.  Risk prediction of major complications in individuals with diabetes: the Atherosclerosis Risk in Communities Study.

Authors:  C M Parrinello; K Matsushita; M Woodward; L E Wagenknecht; J Coresh; E Selvin
Journal:  Diabetes Obes Metab       Date:  2016-06-14       Impact factor: 6.577

7.  Evaluating the incremental value of new biomarkers with integrated discrimination improvement.

Authors:  Kathleen F Kerr; Robyn L McClelland; Elizabeth R Brown; Thomas Lumley
Journal:  Am J Epidemiol       Date:  2011-06-14       Impact factor: 4.897

8.  Measures to summarize and compare the predictive capacity of markers.

Authors:  Wen Gu; Margaret Pepe
Journal:  Int J Biostat       Date:  2009-10-01       Impact factor: 0.968

9.  A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data.

Authors:  Hajime Uno; Lu Tian; Tianxi Cai; Isaac S Kohane; L J Wei
Journal:  Stat Med       Date:  2012-10-05       Impact factor: 2.373

10.  Improving global vascular risk prediction with behavioral and anthropometric factors. The multiethnic NOMAS (Northern Manhattan Cohort Study).

Authors:  Ralph L Sacco; Minesh Khatri; Tatjana Rundek; Qiang Xu; Hannah Gardener; Bernadette Boden-Albala; Marco R Di Tullio; Shunichi Homma; Mitchell S V Elkind; Myunghee C Paik
Journal:  J Am Coll Cardiol       Date:  2009-12-08       Impact factor: 24.094
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