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Journal Abstract Search

1539 related items for PubMed ID: 19833488

  • 21. Boosting method for nonlinear transformation models with censored survival data.
    Lu W, Li L.
    Biostatistics; 2008 Oct; 9(4):658-67. PubMed ID: 18344565
    [Abstract] [Full Text] [Related]

  • 22. Implementing statistical learning methods through Bayesian networks. Part 1: a guide to Bayesian parameter estimation using forensic science data.
    Biedermann A, Taroni F, Bozza S.
    Forensic Sci Int; 2009 Dec 15; 193(1-3):63-71. PubMed ID: 19833464
    [Abstract] [Full Text] [Related]

  • 23. A machine learning-based approach to prognostic analysis of thoracic transplantations.
    Delen D, Oztekin A, Kong ZJ.
    Artif Intell Med; 2010 May 15; 49(1):33-42. PubMed ID: 20153956
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  • 24. Prognostic Bayesian networks II: an application in the domain of cardiac surgery.
    Verduijn M, Rosseel PM, Peek N, de Jonge E, de Mol BA.
    J Biomed Inform; 2007 Dec 15; 40(6):619-30. PubMed ID: 17709302
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  • 25. Estimating variance parameters from multivariate normal variables subject to limit of detection: MLE, REML, or Bayesian approaches?
    Nie L, Chu H, Feng S.
    Stat Med; 2009 Sep 10; 28(20):2605-16. PubMed ID: 19598183
    [Abstract] [Full Text] [Related]

  • 26. A novel algorithm for scalable and accurate Bayesian network learning.
    Brown LE, Tsamardinos I, Aliferis CF.
    Stud Health Technol Inform; 2004 Sep 10; 107(Pt 1):711-5. PubMed ID: 15360905
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  • 27. Improving Cox survival analysis with a neural-Bayesian approach.
    Bakker B, Heskes T, Neijt J, Kappen B.
    Stat Med; 2004 Oct 15; 23(19):2989-3012. PubMed ID: 15351957
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  • 33. Causal inference in biomolecular pathways using a Bayesian network approach and an Implicit method.
    Ben Hassen H, Masmoudi A, Rebai A.
    J Theor Biol; 2008 Aug 21; 253(4):717-24. PubMed ID: 18541271
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  • 34. Bayesian variable selection for the analysis of microarray data with censored outcomes.
    Sha N, Tadesse MG, Vannucci M.
    Bioinformatics; 2006 Sep 15; 22(18):2262-8. PubMed ID: 16845144
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  • 35. Estimation of treatment effect adjusting for dependent censoring using the IPCW method: an application to a large primary prevention study for coronary events (MEGA study).
    Yoshida M, Matsuyama Y, Ohashi Y, MEGA Study Group.
    Clin Trials; 2007 Sep 15; 4(4):318-28. PubMed ID: 17848493
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  • 36. Artificial neural network for the joint modelling of discrete cause-specific hazards.
    Biganzoli EM, Boracchi P, Ambrogi F, Marubini E.
    Artif Intell Med; 2006 Jun 15; 37(2):119-30. PubMed ID: 16730963
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  • 37. The Mizon-Richard encompassing test for the Cox and Aalen additive hazards models.
    Martinussen T, Aalen OO, Scheike TH.
    Biometrics; 2008 Mar 15; 64(1):164-71. PubMed ID: 17608786
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