Literature DB >> 22945840

Use of areas under the receiver operating curve (AROCs) and some caveats.

B Kowall1, W Rathmann, K Strassburger.   

Abstract

Mesh：

Year:  2012        PMID： 22945840     DOI： 10.1007/s00038-012-0401-x

Source DB:  PubMed          Journal:  Int J Public Health        ISSN： 1661-8556            Impact factor:   3.380


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  6 in total

1.  What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.

Authors:  Michael A Babyak
Journal:  Psychosom Med       Date:  2004 May-Jun       Impact factor: 4.312

2.  Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation.

Authors:  Michael J Pencina; Ralph B D'Agostino
Journal:  Stat Med       Date:  2004-07-15       Impact factor: 2.373

3.  The need for reorientation toward cost-effective prediction: 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:  Sander Greenland
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

4.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

Review 5.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

6.  Prediction models for incident type 2 diabetes mellitus
in the older population: KORA S4/F4 cohort study.

Authors:  W Rathmann; B Kowall; M Heier; C Herder; R Holle; B Thorand; K Strassburger; A Peters; H-E Wichmann; G Giani; C Meisinger
Journal:  Diabet Med       Date:  2010-10       Impact factor: 4.359
  6 in total
  2 in total

Review 1.  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

2.  Value and limitations of the BAR-score for donor allocation in liver transplantation.

Authors:  Harald Schrem; Anna-Luise Platsakis; Alexander Kaltenborn; Armin Koch; Courtney Metz; Marc Barthold; Christian Krauth; Volker Amelung; Felix Braun; Thomas Becker; Jürgen Klempnauer; Benedikt Reichert
Journal:  Langenbecks Arch Surg       Date:  2014-09-14       Impact factor: 3.445
  2 in total

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