Literature DB >> 20737021

Comment: Measures to summarize and compare the predictive capacity of markers.

Nancy R Cook1.   

Abstract

In their presentation on measures of predictive capacity Gu and Pepe say little about calibration. This comment distinguishes conditional and unconditional calibration and how these relate to the stated results.

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Year:  2010        PMID： 20737021      PMCID： PMC2920195          DOI： 10.2202/1557-4679.1257

Source DB:  PubMed          Journal:  Int J Biostat        ISSN： 1557-4679            Impact factor:   0.968


  9 in total

1.  Assessment and comparison of prognostic classification schemes for survival data.

Authors:  E Graf; C Schmoor; W Sauerbrei; M Schumacher
Journal:  Stat Med       Date:  1999 Sep 15-30       Impact factor: 2.373

2.  On criteria for evaluating models of absolute risk.

Authors:  Mitchell H Gail; Ruth M Pfeiffer
Journal:  Biostatistics       Date:  2005-04       Impact factor: 5.899

3.  Assessing predictive accuracy: how to compare Brier scores.

Authors:  D A Redelmeier; D A Bloch; D H Hickam
Journal:  J Clin Epidemiol       Date:  1991       Impact factor: 6.437

4.  The effect of including C-reactive protein in cardiovascular risk prediction models for women.

Authors:  Nancy R Cook; Julie E Buring; Paul M Ridker
Journal:  Ann Intern Med       Date:  2006-07-04       Impact factor: 25.391

5.  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

6.  The measurement of performance in probabilistic diagnosis. III. Methods based on continuous functions of the diagnostic probabilities.

Authors:  J Hilden; J D Habbema; B Bjerregaard
Journal:  Methods Inf Med       Date:  1978-10       Impact factor: 2.176

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.  Probabilistic prediction in patient management and clinical trials.

Authors:  D J Spiegelhalter
Journal:  Stat Med       Date:  1986 Sep-Oct       Impact factor: 2.373

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
  9 in total
  6 in total

1.  Problems with risk reclassification methods for evaluating prediction models.

Authors:  Margaret S Pepe
Journal:  Am J Epidemiol       Date:  2011-05-09       Impact factor: 4.897

2.  Performance of reclassification statistics in comparing risk prediction models.

Authors:  Nancy R Cook; Nina P Paynter
Journal:  Biom J       Date:  2011-02-03       Impact factor: 2.207

3.  Individual risk.

Authors:  Ralph H Stern
Journal:  J Clin Hypertens (Greenwich)       Date:  2012-02-13       Impact factor: 3.738

4.  Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol.

Authors:  Monica Taljaard; Meltem Tuna; Carol Bennett; Richard Perez; Laura Rosella; Jack V Tu; Claudia Sanmartin; Deirdre Hennessy; Peter Tanuseputro; Michael Lebenbaum; Douglas G Manuel
Journal:  BMJ Open       Date:  2014-10-23       Impact factor: 2.692

5.  Algorithm for predicting death among older adults in the home care setting: study protocol for the Risk Evaluation for Support: Predictions for Elder-life in the Community Tool (RESPECT).

Authors:  Amy T Hsu; Douglas G Manuel; Monica Taljaard; Mathieu Chalifoux; Carol Bennett; Andrew P Costa; Susan Bronskill; Daniel Kobewka; Peter Tanuseputro
Journal:  BMJ Open       Date:  2016-12-01       Impact factor: 2.692

6.  Dementia Population Risk Tool (DemPoRT): study protocol for a predictive algorithm assessing dementia risk in the community.

Authors:  Stacey Fisher; Amy Hsu; Nassim Mojaverian; Monica Taljaard; Gregory Huyer; Douglas G Manuel; Peter Tanuseputro
Journal:  BMJ Open       Date:  2017-10-24       Impact factor: 2.692
  6 in total

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