Comment
doi: 10.1002/sim.2995.
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)
Affiliations
- PMID: 17729377
- DOI: 10.1002/sim.2995
Item in Clipboard
Comment
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)
Stat Med.
.
Erratum in
- Stat Med. 2008 Jan 30;27(2):316
No abstract available
Comment on
-
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.Stat Med. 2008 Jan 30;27(2):157-72; discussion 207-12. doi: 10.1002/sim.2929. Stat Med. 2008. PMID: 17569110
Similar articles
-
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 Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929).Stat Med. 2008 Jan 30;27(2):182-4. doi: 10.1002/sim.2986. Stat Med. 2008. PMID: 17712782 No abstract available.
-
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).Stat Med. 2008 Jan 30;27(2):191-5. doi: 10.1002/sim.2987. Stat Med. 2008. PMID: 17671959 No abstract available.
-
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).Stat Med. 2008 Jan 30;27(2):185-7. doi: 10.1002/sim.2985. Stat Med. 2008. PMID: 17668917 No abstract available.
-
Overview of risk prediction models in cardiovascular disease research.Ann Epidemiol. 2009 Oct;19(10):711-7. doi: 10.1016/j.annepidem.2009.05.005. Epub 2009 Jul 22. Ann Epidemiol. 2009. PMID: 19628409 Review.
-
Improvement of cardiovascular risk prediction: time to review current knowledge, debates, and fundamentals on how to assess test characteristics.Eur J Cardiovasc Prev Rehabil. 2010 Feb;17(1):18-23. doi: 10.1097/HJR.0b013e3283347059. Eur J Cardiovasc Prev Rehabil. 2010. PMID: 19952758 Review.
Cited by
-
Assessing the performance of prediction models: a framework for traditional and novel measures.Epidemiology. 2010 Jan;21(1):128-38. doi: 10.1097/EDE.0b013e3181c30fb2. Epidemiology. 2010. PMID: 20010215 Free PMC article.
-
Changing Paradigms in the Management of Rejection in Kidney Transplantation: Evolving From Protocol-Based Care to the Era of P4 Medicine.Can J Kidney Health Dis. 2017 Jan 23;4:2054358116688227. doi: 10.1177/2054358116688227. eCollection 2017. Can J Kidney Health Dis. 2017. PMID: 28270929 Free PMC article.
-
Predictive Nomogram for Midterm to Long-Term Prognosis in Patients with Papillary Renal Cell Carcinoma Based on Data from the Surveillance, Epidemiology, and End Results (SEER) Program.Med Sci Monit. 2020 Jun 22;26:e921859. doi: 10.12659/MSM.921859. Med Sci Monit. 2020. PMID: 32570266 Free PMC article.
-
Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseases.Am J Hum Genet. 2012 Jun 8;90(6):962-72. doi: 10.1016/j.ajhg.2012.04.017. Epub 2012 May 24. Am J Hum Genet. 2012. PMID: 22633398 Free PMC article.
-
The potential of novel biomarkers to improve risk prediction of type 2 diabetes.Diabetologia. 2014 Jan;57(1):16-29. doi: 10.1007/s00125-013-3061-3. Diabetologia. 2014. PMID: 24078135 Review.