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Items: 1 to 20 of 97

1.

Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets.

Steyerberg EW, Eijkemans MJ, Harrell FE Jr, Habbema JD.

Med Decis Making. 2001 Jan-Feb;21(1):45-56.

PMID:
11206946
2.

Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets.

Steyerberg EW, Eijkemans MJ, Harrell FE Jr, Habbema JD.

Stat Med. 2000 Apr 30;19(8):1059-79.

PMID:
10790680
3.

Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis.

Steyerberg EW, Eijkemans MJ, Habbema JD.

J Clin Epidemiol. 1999 Oct;52(10):935-42.

PMID:
10513756
4.

Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD.

J Clin Epidemiol. 2001 Aug;54(8):774-81.

PMID:
11470385
5.

Prognostic models based on literature and individual patient data in logistic regression analysis.

Steyerberg EW, Eijkemans MJ, Van Houwelingen JC, Lee KL, Habbema JD.

Stat Med. 2000 Jan 30;19(2):141-60.

PMID:
10641021
6.

Development and validation of clinical prediction models: marginal differences between logistic regression, penalized maximum likelihood estimation, and genetic programming.

Janssen KJ, Siccama I, Vergouwe Y, Koffijberg H, Debray TP, Keijzer M, Grobbee DE, Moons KG.

J Clin Epidemiol. 2012 Apr;65(4):404-12. doi: 10.1016/j.jclinepi.2011.08.011. Epub 2012 Jan 2.

PMID:
22214734
7.

Validation and updating of predictive logistic regression models: a study on sample size and shrinkage.

Steyerberg EW, Borsboom GJ, van Houwelingen HC, Eijkemans MJ, Habbema JD.

Stat Med. 2004 Aug 30;23(16):2567-86.

PMID:
15287085
8.

Equally valid models gave divergent predictions for mortality in acute myocardial infarction patients in a comparison of logistic [corrected] regression models.

Steyerberg EW, Eijkemans MJ, Boersma E, Habbema JD.

J Clin Epidemiol. 2005 Apr;58(4):383-90. Erratum in: J Clin Epidemiol. 2005 Aug;58(8):863.

PMID:
15862724
10.

Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events.

Pavlou M, Ambler G, Seaman S, De Iorio M, Omar RZ.

Stat Med. 2016 Mar 30;35(7):1159-77. doi: 10.1002/sim.6782. Epub 2015 Oct 29. Review.

11.

Predictors of 30-day mortality in the era of reperfusion for acute myocardial infarction. Results from an international trial of 41,021 patients. GUSTO-I Investigators.

Lee KL, Woodlief LH, Topol EJ, Weaver WD, Betriu A, Col J, Simoons M, Aylward P, Van de Werf F, Califf RM.

Circulation. 1995 Mar 15;91(6):1659-68.

12.

Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.

Paciorek CJ, Liu Y; HEI Health Review Committee..

Res Rep Health Eff Inst. 2012 May;(167):5-83; discussion 85-91.

PMID:
22838153
13.

Evaluation of prognostic clinical and ECG parameters in patients after myocardial infarction by applying logistic regression method.

Urbonaviciene G, Urbonavicius S, Vorum H, Bluzaite I, Jarusevicius G, Honoré B, Tamosiunaite M.

Pacing Clin Electrophysiol. 2008 Nov;31(11):1391-8. doi: 10.1111/j.1540-8159.2008.01201.x.

PMID:
18950295
14.

Prediction models for clustered data: comparison of a random intercept and standard regression model.

Bouwmeester W, Twisk JW, Kappen TH, van Klei WA, Moons KG, Vergouwe Y.

BMC Med Res Methodol. 2013 Feb 15;13:19. doi: 10.1186/1471-2288-13-19.

15.

Predictive impact on medium-term mortality of hematological parameters in Acute Coronary Syndromes: added value on top of GRACE risk score.

Timóteo AT, Papoila AL, Lousinha A, Alves M, Miranda F, Ferreira ML, Ferreira RC.

Eur Heart J Acute Cardiovasc Care. 2015 Apr;4(2):172-9. doi: 10.1177/2048872614547690. Epub 2014 Aug 13.

PMID:
25122727
16.

Multivariate modeling of complications with data driven variable selection: guarding against overfitting and effects of data set size.

van der Schaaf A, Xu CJ, van Luijk P, Van't Veld AA, Langendijk JA, Schilstra C.

Radiother Oncol. 2012 Oct;105(1):115-21. doi: 10.1016/j.radonc.2011.12.006. Epub 2012 Jan 20.

PMID:
22264894
17.

Penalized maximum likelihood estimation to directly adjust diagnostic and prognostic prediction models for overoptimism: a clinical example.

Moons KG, Donders AR, Steyerberg EW, Harrell FE.

J Clin Epidemiol. 2004 Dec;57(12):1262-70.

PMID:
15617952
18.

Growth-differentiation factor 15 and osteoprotegerin in acute myocardial infarction complicated by cardiogenic shock: a biomarker substudy of the IABP-SHOCK II-trial.

Fuernau G, Poenisch C, Eitel I, de Waha S, Desch S, Schuler G, Adams V, Werdan K, Zeymer U, Thiele H.

Eur J Heart Fail. 2014 Aug;16(8):880-7. doi: 10.1002/ejhf.117. Epub 2014 Jun 5.

19.
20.

A simple risk chart for initial risk assessment of 30-day mortality in patients with cardiogenic shock from ST-elevation myocardial infarction.

Cheng JM, Helming AM, van Vark LC, Kardys I, Den Uil CA, Jewbali LS, van Geuns RJ, Zijlstra F, van Domburg RT, Boersma E, Akkerhuis KM.

Eur Heart J Acute Cardiovasc Care. 2016 Apr;5(2):101-7. doi: 10.1177/2048872615568966. Epub 2015 Jan 14.

PMID:
25589634

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