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Items: 9

1.

Two criteria for evaluating risk prediction models.

Pfeiffer RM, Gail MH.

Biometrics. 2011 Sep;67(3):1057-65. doi: 10.1111/j.1541-0420.2010.01523.x. Epub 2010 Dec 14.

2.

A systematic review and individual patient data meta-analysis of prognostic factors for foot ulceration in people with diabetes: the international research collaboration for the prediction of diabetic foot ulcerations (PODUS).

Crawford F, Cezard G, Chappell FM, Murray GD, Price JF, Sheikh A, Simpson CR, Stansby GP, Young MJ.

Health Technol Assess. 2015 Jul;19(57):1-210. doi: 10.3310/hta19570. Review.

3.

Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis.

Louie KS, Seigneurin A, Cathcart P, Sasieni P.

Ann Oncol. 2015 May;26(5):848-64. doi: 10.1093/annonc/mdu525. Epub 2014 Nov 17. Review.

PMID:
25403590
5.

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.

6.

A rapid and systematic review of the clinical effectiveness and cost-effectiveness of topotecan for ovarian cancer.

Forbes C, Shirran L, Bagnall AM, Duffy S, ter Riet G.

Health Technol Assess. 2001;5(28):1-110. Review.

7.

Quality of first trimester risk prediction models for pre-eclampsia: a systematic review.

Brunelli VB, Prefumo F.

BJOG. 2015 Jun;122(7):904-14. doi: 10.1111/1471-0528.13334. Epub 2015 Mar 11. Review.

8.

Prediction of poor outcome in patients with acute liver failure-systematic review of prediction models.

Wlodzimirow KA, Eslami S, Chamuleau RA, Nieuwoudt M, Abu-Hanna A.

PLoS One. 2012;7(12):e50952. doi: 10.1371/journal.pone.0050952. Epub 2012 Dec 14. Review.

9.

Statistical models for respiratory disease diagnosis and prognosis.

Wolfe R, Carlin J.

Respirology. 2015 May;20(4):541-7. doi: 10.1111/resp.12519. Epub 2015 Mar 30. Review.

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