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Items: 1 to 20 of 108

1.

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.

PMID:
20562194
2.

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

Stern RH.

Am J Epidemiol. 2011 Mar 15;173(6):714; author reply 714-5. doi: 10.1093/aje/kwq501. Epub 2011 Feb 7. No abstract available.

PMID:
21300856
3.

Immunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study.

Herder C, Baumert J, Zierer A, Roden M, Meisinger C, Karakas M, Chambless L, Rathmann W, Peters A, Koenig W, Thorand B.

PLoS One. 2011;6(6):e19852. doi: 10.1371/journal.pone.0019852. Epub 2011 Jun 6.

4.

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
5.

Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories.

Mühlenbruch K, Heraclides A, Steyerberg EW, Joost HG, Boeing H, Schulze MB.

Eur J Epidemiol. 2013 Jan;28(1):25-33. doi: 10.1007/s10654-012-9744-0. Epub 2012 Nov 20.

PMID:
23179629
6.

Improved prediction of biochemical recurrence after radical prostatectomy by genetic polymorphisms.

Morote J, Del Amo J, Borque A, Ars E, Hernández C, Herranz F, Arruza A, Llarena R, Planas J, Viso MJ, Palou J, Raventós CX, Tejedor D, Artieda M, Simón L, Martínez A, Rioja LA.

J Urol. 2010 Aug;184(2):506-11. doi: 10.1016/j.juro.2010.03.144. Epub 2010 Jun 17.

PMID:
20620409
7.

Incremental value of pulmonary function and sputum DNA image cytometry in lung cancer risk prediction.

Tammemagi MC, Lam SC, McWilliams AM, Sin DD.

Cancer Prev Res (Phila). 2011 Apr;4(4):552-61. doi: 10.1158/1940-6207.CAPR-10-0183. Epub 2011 Mar 16.

8.
9.

[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
10.

Small improvement in the area under the receiver operating characteristic curve indicated small changes in predicted risks.

Martens FK, Tonk EC, Kers JG, Janssens AC.

J Clin Epidemiol. 2016 Nov;79:159-164. doi: 10.1016/j.jclinepi.2016.07.002. Epub 2016 Jul 16.

PMID:
27430730
11.

Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose tolerance test?

Stern MP, Williams K, Haffner SM.

Ann Intern Med. 2002 Apr 16;136(8):575-81.

PMID:
11955025
12.

Combining genetic markers and clinical risk factors improves the risk assessment of impaired glucose metabolism.

Ruchat SM, Vohl MC, Weisnagel SJ, Rankinen T, Bouchard C, Pérusse L.

Ann Med. 2010 Apr;42(3):196-206. doi: 10.3109/07853890903559716.

PMID:
20384434
13.

Clinical risk factors, DNA variants, and the development of type 2 diabetes.

Lyssenko V, Jonsson A, Almgren P, Pulizzi N, Isomaa B, Tuomi T, Berglund G, Altshuler D, Nilsson P, Groop L.

N Engl J Med. 2008 Nov 20;359(21):2220-32. doi: 10.1056/NEJMoa0801869.

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.

A prediction model for the risk of incident chronic kidney disease.

Chien KL, Lin HJ, Lee BC, Hsu HC, Lee YT, Chen MF.

Am J Med. 2010 Sep;123(9):836-846.e2. doi: 10.1016/j.amjmed.2010.05.010.

PMID:
20800153
16.

How much does HDL cholesterol add to risk estimation? A report from the SCORE Investigators.

Cooney MT, Dudina A, De Bacquer D, Fitzgerald A, Conroy R, Sans S, Menotti A, De Backer G, Jousilahti P, Keil U, Thomsen T, Whincup P, Graham I; SCORE Investigators.

Eur J Cardiovasc Prev Rehabil. 2009 Jun;16(3):304-14. doi: 10.1097/HJR.0b013e3283213140.

PMID:
19609139
17.

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
18.
19.

Can survival prediction be improved by merging gene expression data sets?

Yasrebi H, Sperisen P, Praz V, Bucher P.

PLoS One. 2009 Oct 23;4(10):e7431. doi: 10.1371/journal.pone.0007431.

20.

Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve.

Cook NR.

Clin Chem. 2008 Jan;54(1):17-23. Epub 2007 Nov 16. Review.

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