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Journal Abstract Search


450 related items for PubMed ID: 12652556

  • 1. An EM-based semi-parametric mixture model approach to the regression analysis of competing-risks data.
    Ng SK, McLachlan GJ.
    Stat Med; 2003 Apr 15; 22(7):1097-111. PubMed ID: 12652556
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  • 4. Polynomial spline estimation and inference of proportional hazards regression models with flexible relative risk form.
    Huang JZ, Liu L.
    Biometrics; 2006 Sep 15; 62(3):793-802. PubMed ID: 16984322
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  • 5. Joint models for efficient estimation in proportional hazards regression models.
    Slasor P, Laird N.
    Stat Med; 2003 Jul 15; 22(13):2137-48. PubMed ID: 12820279
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  • 6. Applying Cox regression to competing risks.
    Lunn M, McNeil D.
    Biometrics; 1995 Jun 15; 51(2):524-32. PubMed ID: 7662841
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  • 8. A SAS macro for parametric and semiparametric mixture cure models.
    Corbière F, Joly P.
    Comput Methods Programs Biomed; 2007 Feb 15; 85(2):173-80. PubMed ID: 17157948
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  • 9. Prediction of cumulative incidence function under the proportional hazards model.
    Cheng SC, Fine JP, Wei LJ.
    Biometrics; 1998 Mar 15; 54(1):219-28. PubMed ID: 9544517
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  • 10. Analyses of cumulative incidence functions via non-parametric multiple imputation.
    Ruan PK, Gray RJ.
    Stat Med; 2008 Nov 29; 27(27):5709-24. PubMed ID: 18712779
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  • 13. Bayesian adjustment for covariate measurement errors: a flexible parametric approach.
    Hossain S, Gustafson P.
    Stat Med; 2009 May 15; 28(11):1580-600. PubMed ID: 19226564
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  • 18. Non-parametric estimation for baseline hazards function and covariate effects with time-dependent covariates.
    Gao F, Manatunga AK, Chen S.
    Stat Med; 2007 Feb 20; 26(4):857-68. PubMed ID: 16685705
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