Literature DB >> 17795531

The numerical measure of the success of predictions.

C S Peirce.   

Abstract

Year:  1884        PMID： 17795531     DOI： 10.1126/science.ns-4.93.453-a

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  41 in total

1.  Inventory, differentiation, and proportional diversity: a consistent terminology for quantifying species diversity.

Authors:  Gerald Jurasinski; Vroni Retzer; Carl Beierkuhnlein
Journal:  Oecologia       Date:  2008-10-25       Impact factor: 3.225

2.  Assessing the incremental value of diagnostic and prognostic markers: a review and illustration.

Authors:  Ewout W Steyerberg; Michael J Pencina; Hester F Lingsma; Michael W Kattan; Andrew J Vickers; Ben Van Calster
Journal:  Eur J Clin Invest       Date:  2011-07-05       Impact factor: 4.686

3.  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

4.  Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use.

Authors:  Kathleen F Kerr; Marshall D Brown; Kehao Zhu; Holly Janes
Journal:  J Clin Oncol       Date:  2016-05-31       Impact factor: 44.544

Review 5.  Prediction models for risk classification in cardiovascular disease.

Authors:  Mario Petretta; Alberto Cuocolo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-03       Impact factor: 9.236

Review 6.  Developing risk prediction models for kidney injury and assessing incremental value for novel biomarkers.

Authors:  Kathleen F Kerr; Allison Meisner; Heather Thiessen-Philbrook; Steven G Coca; Chirag R Parikh
Journal:  Clin J Am Soc Nephrol       Date:  2014-05-22       Impact factor: 8.237

7.  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

8.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

9.  A regret theory approach to decision curve analysis: a novel method for eliciting decision makers' preferences and decision-making.

Authors:  Athanasios Tsalatsanis; Iztok Hozo; Andrew Vickers; Benjamin Djulbegovic
Journal:  BMC Med Inform Decis Mak       Date:  2010-09-16       Impact factor: 2.796

Review 10.  Evaluation of markers and risk prediction models: overview of relationships between NRI and decision-analytic measures.

Authors:  Ben Van Calster; Andrew J Vickers; Michael J Pencina; Stuart G Baker; Dirk Timmerman; Ewout W Steyerberg
Journal:  Med Decis Making       Date:  2013-01-11       Impact factor: 2.583
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