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Items: 1 to 20 of 120

1.

External validation of multivariable prediction models: a systematic review of methodological conduct and reporting.

Collins GS, de Groot JA, Dutton S, Omar O, Shanyinde M, Tajar A, Voysey M, Wharton R, Yu LM, Moons KG, Altman DG.

BMC Med Res Methodol. 2014 Mar 19;14:40. doi: 10.1186/1471-2288-14-40. Review.

2.

Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting.

Collins GS, Mallett S, Omar O, Yu LM.

BMC Med. 2011 Sep 8;9:103. doi: 10.1186/1741-7015-9-103. Review.

3.

A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods.

Collins GS, Omar O, Shanyinde M, Yu LM.

J Clin Epidemiol. 2013 Mar;66(3):268-77. doi: 10.1016/j.jclinepi.2012.06.020. Epub 2012 Oct 30. Review.

PMID:
23116690
4.

A new framework to enhance the interpretation of external validation studies of clinical prediction models.

Debray TP, Vergouwe Y, Koffijberg H, Nieboer D, Steyerberg EW, Moons KG.

J Clin Epidemiol. 2015 Mar;68(3):279-89. doi: 10.1016/j.jclinepi.2014.06.018. Epub 2014 Aug 30.

5.

Reporting performance of prognostic models in cancer: a review.

Mallett S, Royston P, Waters R, Dutton S, Altman DG.

BMC Med. 2010 Mar 30;8:21. doi: 10.1186/1741-7015-8-21. Review.

6.

Reporting and Methodology of Multivariable Analyses in Prognostic Observational Studies Published in 4 Anesthesiology Journals: A Methodological Descriptive Review.

Guglielminotti J, Dechartres A, Mentré F, Montravers P, Longrois D, Laouénan C.

Anesth Analg. 2015 Oct;121(4):1011-29. doi: 10.1213/ANE.0000000000000517. Review.

PMID:
25390276
7.

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.

8.

Prediction of risk of recurrence of venous thromboembolism following treatment for a first unprovoked venous thromboembolism: systematic review, prognostic model and clinical decision rule, and economic evaluation.

Ensor J, Riley RD, Jowett S, Monahan M, Snell KIe, Bayliss S, Moore D, Fitzmaurice D; PIT-STOP collaborative group.

Health Technol Assess. 2016 Feb;20(12):i-xxxiii, 1-190. doi: 10.3310/hta20120. Review.

9.

Developing and validating risk prediction models in an individual participant data meta-analysis.

Ahmed I, Debray TP, Moons KG, Riley RD.

BMC Med Res Methodol. 2014 Jan 8;14:3. doi: 10.1186/1471-2288-14-3. Review.

10.

Prediction models for endometrial cancer for the general population or symptomatic women: A systematic review.

Alblas M, Velt KB, Pashayan N, Widschwendter M, Steyerberg EW, Vergouwe Y.

Crit Rev Oncol Hematol. 2018 Jun;126:92-99. doi: 10.1016/j.critrevonc.2018.03.023. Epub 2018 Mar 31. Review.

PMID:
29759571
11.

Review and evaluation of performance measures for survival prediction models in external validation settings.

Rahman MS, Ambler G, Choodari-Oskooei B, Omar RZ.

BMC Med Res Methodol. 2017 Apr 18;17(1):60. doi: 10.1186/s12874-017-0336-2.

12.

Prediction Models and Their External Validation Studies for Mortality of Patients with Acute Kidney Injury: A Systematic Review.

Ohnuma T, Uchino S.

PLoS One. 2017 Jan 5;12(1):e0169341. doi: 10.1371/journal.pone.0169341. eCollection 2017. Review.

13.

Prediction models for successful external cephalic version: a systematic review.

Velzel J, de Hundt M, Mulder FM, Molkenboer JF, Van der Post JA, Mol BW, Kok M.

Eur J Obstet Gynecol Reprod Biol. 2015 Dec;195:160-7. doi: 10.1016/j.ejogrb.2015.10.007. Epub 2015 Oct 24. Review.

PMID:
26546757
14.

A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance.

Meads C, Ahmed I, Riley RD.

Breast Cancer Res Treat. 2012 Apr;132(2):365-77. doi: 10.1007/s10549-011-1818-2. Epub 2011 Oct 22. Review.

PMID:
22037780
15.

Prediction models for cardiovascular disease risk in the general population: systematic review.

Damen JA, Hooft L, Schuit E, Debray TP, Collins GS, Tzoulaki I, Lassale CM, Siontis GC, Chiocchia V, Roberts C, Schlüssel MM, Gerry S, Black JA, Heus P, van der Schouw YT, Peelen LM, Moons KG.

BMJ. 2016 May 16;353:i2416. doi: 10.1136/bmj.i2416. Review.

16.

Reporting and methods in clinical prediction research: a systematic review.

Bouwmeester W, Zuithoff NP, Mallett S, Geerlings MI, Vergouwe Y, Steyerberg EW, Altman DG, Moons KG.

PLoS Med. 2012;9(5):1-12. doi: 10.1371/journal.pmed.1001221. Epub 2012 May 22. Review.

17.

Prediction models for the mortality risk in chronic dialysis patients: a systematic review and independent external validation study.

Ramspek CL, Voskamp PW, van Ittersum FJ, Krediet RT, Dekker FW, van Diepen M.

Clin Epidemiol. 2017 Sep 5;9:451-464. doi: 10.2147/CLEP.S139748. eCollection 2017.

18.

Risk Prediction Models for Incident Heart Failure: A Systematic Review of Methodology and Model Performance.

Sahle BW, Owen AJ, Chin KL, Reid CM.

J Card Fail. 2017 Sep;23(9):680-687. doi: 10.1016/j.cardfail.2017.03.005. Epub 2017 Mar 21.

PMID:
28336380
19.

Prediction of transition to psychosis in patients with a clinical high risk for psychosis: a systematic review of methodology and reporting.

Studerus E, Ramyead A, Riecher-Rössler A.

Psychol Med. 2017 May;47(7):1163-1178. doi: 10.1017/S0033291716003494. Epub 2017 Jan 16. Review.

PMID:
28091343
20.

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study.

Collins GS, Ogundimu EO, Altman DG.

Stat Med. 2016 Jan 30;35(2):214-26. doi: 10.1002/sim.6787. Epub 2015 Nov 9.

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