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)

[1]  N. Unwin,et al.  Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Detection, Evaluation, and Treatment of High Blood Cholesterol Education Program (NCEP) Expert Panel on Executive Summary of the Third Report of the National , 2009 .

[2]  A. Zwinderman,et al.  Role of the Apolipoprotein BApolipoprotein A-I Ratio in Cardiovascular Risk Assessment: A CaseControl Analysis in EPIC-Norfolk , 2007, Annals of Internal Medicine.

[3]  N. Cook.  Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction , 2007, Circulation.

[4]  N. Cook,et al.  Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. , 2007, JAMA.

[5]  Nancy R Cook,et al.  The Effect of Including C-Reactive Protein in Cardiovascular Risk Prediction Models for Women , 2006, Annals of Internal Medicine.

[6]  M. Pepe,et al.  Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs , 2006, Clinical trials.

[7]  J. Manson,et al.  A Randomized Trial of Low-Dose Aspirin in the Primary Prevention of Cardiovascular Disease in Women , 2005, The New England journal of medicine.

[8]  M. Pepe,et al.  Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. , 2004, American journal of epidemiology.

[9]  D. Hosmer,et al.  A comparison of goodness-of-fit tests for the logistic regression model. , 1997, Statistics in medicine.