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Journal Abstract Search

231 related items for PubMed ID: 15567629

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  • 2. Bootstrap model selection had similar performance for selecting authentic and noise variables compared to backward variable elimination: a simulation study.
    Austin PC.
    J Clin Epidemiol; 2008 Oct; 61(10):1009-17.e1. PubMed ID: 18539429
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  • 3. Using the bootstrap to improve estimation and confidence intervals for regression coefficients selected using backwards variable elimination.
    Austin PC.
    Stat Med; 2008 Jul 30; 27(17):3286-300. PubMed ID: 17940997
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  • 4. A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.
    Austin PC.
    Stat Med; 2007 Jul 10; 26(15):2937-57. PubMed ID: 17186501
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  • 5. 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 10; 58(4):383-90. PubMed ID: 15862724
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  • 6. Internal validation of risk models in lung resection surgery: bootstrap versus training-and-test sampling.
    Brunelli A, Rocco G.
    J Thorac Cardiovasc Surg; 2006 Jun 10; 131(6):1243-7. PubMed ID: 16733152
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  • 7. Optimal timing of coronary artery bypass after acute myocardial infarction: a review of California discharge data.
    Weiss ES, Chang DD, Joyce DL, Nwakanma LU, Yuh DD.
    J Thorac Cardiovasc Surg; 2008 Mar 10; 135(3):503-11, 511.e1-3. PubMed ID: 18329460
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  • 13. Comparison of risk-adjustment models using administrative or clinical data for outcome prediction in patients after myocardial infarction or coronary bypass surgery in Korea.
    Park HK, Yoon SJ, Ahn HS, Ahn LS, Seo HJ, Lee SI, Lee KS.
    Int J Clin Pract; 2007 Jul 10; 61(7):1086-90. PubMed ID: 17537190
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  • 15. Predictors of in-hospital mortality difference between male and female patients with acute myocardial infarction.
    Jiang SL, Ji XP, Zhao YX, Wang XR, Song ZF, Ge ZM, Guo T, Zhang C, Zhang Y.
    Am J Cardiol; 2006 Oct 15; 98(8):1000-3. PubMed ID: 17027559
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  • 16. Community factors, hospital characteristics and inter-regional outcome variations following acute myocardial infarction in Canada.
    Alter DA, Austin PC, Tu JV, Canadian Cardiovascular Outcomes Research Team.
    Can J Cardiol; 2005 Mar 15; 21(3):247-55. PubMed ID: 15776114
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  • 17. Renal dysfunction is an independent predictor of in-hospital mortality in patients with ST-segment elevation myocardial infarction treated with primary angioplasty.
    Ferrer-Hita JJ, Dominguez-Rodriguez A, Garcia-Gonzalez MJ, Abreu-Gonzalez P.
    Int J Cardiol; 2007 May 31; 118(2):243-5. PubMed ID: 16997402
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  • 18. Performance of using multiple stepwise algorithms for variable selection.
    Wiegand RE.
    Stat Med; 2010 Jul 10; 29(15):1647-59. PubMed ID: 20552568
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  • 20. Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases.
    Escobar GJ, Greene JD, Scheirer P, Gardner MN, Draper D, Kipnis P.
    Med Care; 2008 Mar 10; 46(3):232-9. PubMed ID: 18388836
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