Literature DB >> 21344474

Comments on 'Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers' by M. J. Pencina, R. B. D'Agostino, Sr. and E. W. Steyerberg.

Nancy R Cook, Nina P Paynter.   

Abstract

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Year:  2011        PMID： 21344474     DOI： 10.1002/sim.4209

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


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  10 in total

1.  Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories.

Authors:  Kristin Mühlenbruch; Alexandros Heraclides; Ewout W Steyerberg; Hans-Georg Joost; Heiner Boeing; Matthias B Schulze
Journal:  Eur J Epidemiol       Date:  2012-11-20       Impact factor: 8.082

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

Authors:  Maarten J G Leening; Nancy R Cook
Journal:  Eur J Epidemiol       Date:  2013-01-05       Impact factor: 8.082

3.  Clinically relevant measures of fit? A note of caution.

Authors:  Nancy R Cook
Journal:  Am J Epidemiol       Date:  2012-08-08       Impact factor: 4.897

Review 4.  Genetic prediction of common diseases. Still no help for the clinical diabetologist!

Authors:  S Prudente; B Dallapiccola; F Pellegrini; A Doria; V Trischitta
Journal:  Nutr Metab Cardiovasc Dis       Date:  2012-07-21       Impact factor: 4.222

Review 5.  Cardiovascular disease risk prediction in women: is there a role for novel biomarkers?

Authors:  Nina P Paynter; Brendan M Everett; Nancy R Cook
Journal:  Clin Chem       Date:  2013-10-07       Impact factor: 8.327

Review 6.  Clinical risk reclassification at 10 years.

Authors:  Nancy R Cook; Olga V Demler; Nina P Paynter
Journal:  Stat Med       Date:  2017-12-10       Impact factor: 2.373

7.  Clinical utility of creatinine- and cystatin C-based definition of renal function for risk prediction of primary cardiovascular events in patients with diabetes.

Authors:  Ben Schöttker; Christian Herder; Heiko Müller; Hermann Brenner; Dietrich Rothenbacher
Journal:  Diabetes Care       Date:  2012-02-14       Impact factor: 19.112

8.  Quantifying the added value of new biomarkers: how and how not.

Authors:  Nancy R Cook
Journal:  Diagn Progn Res       Date:  2018-07-11

9.  Nomogram Predicts Overall Survival in Patients With Stage IV Thyroid Cancer (TC): A Population-Based Analysis From the SEER Database.

Authors:  Tianqing Yang; Tingting Hu; Mingyi Zhao; Qingnan He
Journal:  Front Oncol       Date:  2022-07-11       Impact factor: 5.738

Review 10.  Prognostic Modelling Studies of Coronary Heart Disease-A Systematic Review of Conventional and Genetic Risk Factor Studies.

Authors:  Nayla Nasr; Beáta Soltész; János Sándor; Róza Adány; Szilvia Fiatal
Journal:  J Cardiovasc Dev Dis       Date:  2022-09-05
  10 in total

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