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Items: 1 to 20 of 112

2.

An assessment of the relationship between clinical utility and predictive ability measures and the impact of mean risk in the population.

McGeechan K, Macaskill P, Irwig L, Bossuyt PM.

BMC Med Res Methodol. 2014 Jul 3;14:86. doi: 10.1186/1471-2288-14-86.

3.

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

Cook NR, Buring JE, Ridker PM.

Ann Intern Med. 2006 Jul 4;145(1):21-9.

PMID:
16818925
4.

Clinically relevant measures of fit? A note of caution.

Cook NR.

Am J Epidemiol. 2012 Sep 15;176(6):488-91. Epub 2012 Aug 8.

5.

Effects of additional blood pressure and lipid measurements on the prediction of cardiovascular risk.

Bell K, Hayen A, McGeechan K, Neal B, Irwig L.

Eur J Prev Cardiol. 2012 Dec;19(6):1474-85. doi: 10.1177/1741826711424494. Epub 2011 Sep 26.

PMID:
21947629
6.

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

Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS.

Stat Med. 2008 Jan 30;27(2):157-72; discussion 207-12.

PMID:
17569110
7.

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

Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ, Kattan MW.

Epidemiology. 2010 Jan;21(1):128-38. doi: 10.1097/EDE.0b013e3181c30fb2.

8.

Assessing the Incremental Role of Novel and Emerging Risk Factors.

Cook NR.

Curr Cardiovasc Risk Rep. 2010 Mar 1;4(2):112-119.

9.

Comparative value of coronary artery calcium and multiple blood biomarkers for prognostication of cardiovascular events.

Rana JS, Gransar H, Wong ND, Shaw L, Pencina M, Nasir K, Rozanski A, Hayes SW, Thomson LE, Friedman JD, Min JK, Berman DS.

Am J Cardiol. 2012 May 15;109(10):1449-53. doi: 10.1016/j.amjcard.2012.01.358. Epub 2012 Mar 16.

PMID:
22425333
10.

[Discriminative ability, reclassification and net benefit: the predictive value of biomarkers].

Steyerberg EW, Pencina MJ, Van Calster B.

Ned Tijdschr Geneeskd. 2012;156(41):A5029. Review. Dutch.

PMID:
23062255
11.

Several methods to assess improvement in risk prediction models: extension to survival analysis.

Chambless LE, Cummiskey CP, Cui G.

Stat Med. 2011 Jan 15;30(1):22-38. doi: 10.1002/sim.4026. Epub 2010 Sep 8.

PMID:
20827726
12.

Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models.

Pencina MJ, D'Agostino RB Sr, Demler OV.

Stat Med. 2012 Jan 30;31(2):101-13. doi: 10.1002/sim.4348. Epub 2011 Dec 7.

13.

SAS macros for point and interval estimation of area under the receiver operating characteristic curve for non-proportional and proportional hazards Weibull models.

Mannan H, Stevenson C.

J Eval Clin Pract. 2010 Aug;16(4):756-70. doi: 10.1111/j.1365-2753.2009.01190.x. Epub 2010 Jun 10.

PMID:
20545799
14.

Interpreting incremental value of markers added to risk prediction models.

Pencina MJ, D'Agostino RB, Pencina KM, Janssens AC, Greenland P.

Am J Epidemiol. 2012 Sep 15;176(6):473-81. Epub 2012 Aug 8.

15.

Overview of risk prediction models in cardiovascular disease research.

Cui J.

Ann Epidemiol. 2009 Oct;19(10):711-7. doi: 10.1016/j.annepidem.2009.05.005. Epub 2009 Jul 22. Review.

PMID:
19628409
16.

Use of multiple biomarkers to improve the prediction of death from cardiovascular causes.

Zethelius B, Berglund L, Sundström J, Ingelsson E, Basu S, Larsson A, Venge P, Arnlöv J.

N Engl J Med. 2008 May 15;358(20):2107-16. doi: 10.1056/NEJMoa0707064.

17.

Risk models to predict chronic kidney disease and its progression: a systematic review.

Echouffo-Tcheugui JB, Kengne AP.

PLoS Med. 2012;9(11):e1001344. doi: 10.1371/journal.pmed.1001344. Epub 2012 Nov 20. Review.

18.

Performance of reclassification statistics in comparing risk prediction models.

Cook NR, Paynter NP.

Biom J. 2011 Mar;53(2):237-58. doi: 10.1002/bimj.201000078. Epub 2011 Feb 3.

19.

Assessing new biomarkers and predictive models for use in clinical practice: a clinician's guide.

McGeechan K, Macaskill P, Irwig L, Liew G, Wong TY.

Arch Intern Med. 2008 Nov 24;168(21):2304-10. doi: 10.1001/archinte.168.21.2304.

PMID:
19029492
20.

Improvement of risk prediction by genomic profiling: reclassification measures versus the area under the receiver operating characteristic curve.

Mihaescu R, van Zitteren M, van Hoek M, Sijbrands EJ, Uitterlinden AG, Witteman JC, Hofman A, Hunink MG, van Duijn CM, Janssens AC.

Am J Epidemiol. 2010 Aug 1;172(3):353-61. doi: 10.1093/aje/kwq122. Epub 2010 Jun 18.

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