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PUBMED FOR HANDHELDS

Journal Abstract Search


129 related items for PubMed ID: 17156280

  • 1. Feature-specific penalized latent class analysis for genomic data.
    Houseman EA, Coull BA, Betensky RA.
    Biometrics; 2006 Dec; 62(4):1062-70. PubMed ID: 17156280
    [Abstract] [Full Text] [Related]

  • 2. Joint analysis of time-to-event and multiple binary indicators of latent classes.
    Larsen K.
    Biometrics; 2004 Mar; 60(1):85-92. PubMed ID: 15032777
    [Abstract] [Full Text] [Related]

  • 3. Multiple imputation for model checking: completed-data plots with missing and latent data.
    Gelman A, Van Mechelen I, Verbeke G, Heitjan DF, Meulders M.
    Biometrics; 2005 Mar; 61(1):74-85. PubMed ID: 15737080
    [Abstract] [Full Text] [Related]

  • 4. Likelihood methods for regression models with expensive variables missing by design.
    Zhao Y, Lawless JF, McLeish DL.
    Biom J; 2009 Feb; 51(1):123-36. PubMed ID: 19197954
    [Abstract] [Full Text] [Related]

  • 5. Family-specific approaches to the analysis of case-control family data.
    Neuhaus JM, Scott AJ, Wild CJ.
    Biometrics; 2006 Jun; 62(2):488-94. PubMed ID: 16918913
    [Abstract] [Full Text] [Related]

  • 6. Generalized additive modeling with implicit variable selection by likelihood-based boosting.
    Tutz G, Binder H.
    Biometrics; 2006 Dec; 62(4):961-71. PubMed ID: 17156269
    [Abstract] [Full Text] [Related]

  • 7. Random effects models in latent class analysis for evaluating accuracy of diagnostic tests.
    Qu Y, Tan M, Kutner MH.
    Biometrics; 1996 Sep; 52(3):797-810. PubMed ID: 8805757
    [Abstract] [Full Text] [Related]

  • 8. An empirical Bayes method for estimating epistatic effects of quantitative trait loci.
    Xu S.
    Biometrics; 2007 Jun; 63(2):513-21. PubMed ID: 17688503
    [Abstract] [Full Text] [Related]

  • 9. Inferring the location of tumor suppressor genes by modeling frequency of allelic loss.
    Sterrett A, Wright FA.
    Biometrics; 2007 Mar; 63(1):33-40. PubMed ID: 17447927
    [Abstract] [Full Text] [Related]

  • 10. A class of latent Markov models for capture-recapture data allowing for time, heterogeneity, and behavior effects.
    Bartolucci F, Pennoni F.
    Biometrics; 2007 Jun; 63(2):568-78. PubMed ID: 17688509
    [Abstract] [Full Text] [Related]

  • 11. Latent variable modeling of diagnostic accuracy.
    Yang I, Becker MP.
    Biometrics; 1997 Sep; 53(3):948-58. PubMed ID: 9290225
    [Abstract] [Full Text] [Related]

  • 12. Decomposition and model selection for large contingency tables.
    Dahinden C, Kalisch M, Bühlmann P.
    Biom J; 2010 Apr; 52(2):233-52. PubMed ID: 20213739
    [Abstract] [Full Text] [Related]

  • 13. Sequential analysis of latent variables using mixed-effect latent variable models: Impact of non-informative and informative missing data.
    Sébille V, Hardouin JB, Mesbah M.
    Stat Med; 2007 Nov 30; 26(27):4889-904. PubMed ID: 17576119
    [Abstract] [Full Text] [Related]

  • 14. Quasi-symmetric latent class models, with application to rater agreement.
    Agresti A, Lang JB.
    Biometrics; 1993 Mar 30; 49(1):131-9. PubMed ID: 8513099
    [Abstract] [Full Text] [Related]

  • 15. Comparison of multiple regression to two latent variable techniques for estimation and prediction.
    Wall MM, Li R.
    Stat Med; 2003 Dec 15; 22(23):3671-85. PubMed ID: 14652868
    [Abstract] [Full Text] [Related]

  • 16. Improving estimates of genetic maps: a meta-analysis-based approach.
    Stewart WC.
    Genet Epidemiol; 2007 Jul 15; 31(5):408-16. PubMed ID: 17443710
    [Abstract] [Full Text] [Related]

  • 17. Bayesian latent class models with conditionally dependent diagnostic tests: a case study.
    Menten J, Boelaert M, Lesaffre E.
    Stat Med; 2008 Sep 30; 27(22):4469-88. PubMed ID: 18551515
    [Abstract] [Full Text] [Related]

  • 18. Marginalized models for moderate to long series of longitudinal binary response data.
    Schildcrout JS, Heagerty PJ.
    Biometrics; 2007 Jun 30; 63(2):322-31. PubMed ID: 17688485
    [Abstract] [Full Text] [Related]

  • 19. A latent-class mixture model for incomplete longitudinal Gaussian data.
    Beunckens C, Molenberghs G, Verbeke G, Mallinckrodt C.
    Biometrics; 2008 Mar 30; 64(1):96-105. PubMed ID: 17608789
    [Abstract] [Full Text] [Related]

  • 20. A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome.
    Proust-Lima C, Letenneur L, Jacqmin-Gadda H.
    Stat Med; 2007 May 10; 26(10):2229-45. PubMed ID: 16900568
    [Abstract] [Full Text] [Related]


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