BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 19459836)

  • 1. Bayesian quantile regression for longitudinal studies with nonignorable missing data.
    Yuan Y; Yin G
    Biometrics; 2010 Mar; 66(1):105-14. PubMed ID: 19459836
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Variable selection for semiparametric mixed models in longitudinal studies.
    Ni X; Zhang D; Zhang HH
    Biometrics; 2010 Mar; 66(1):79-88. PubMed ID: 19397585
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian inference in semiparametric mixed models for longitudinal data.
    Li Y; Lin X; Müller P
    Biometrics; 2010 Mar; 66(1):70-8. PubMed ID: 19432777
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Time-varying latent effect model for longitudinal data with informative observation times.
    Cai N; Lu W; Zhang HH
    Biometrics; 2012 Dec; 68(4):1093-102. PubMed ID: 23025338
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Mixed-effect hybrid models for longitudinal data with nonignorable dropout.
    Yuan Y; Little RJ
    Biometrics; 2009 Jun; 65(2):478-86. PubMed ID: 18759842
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features.
    Huang Y; Chen J
    Stat Med; 2016 Dec; 35(30):5666-5685. PubMed ID: 27592848
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Expected estimating equations for missing data, measurement error, and misclassification, with application to longitudinal nonignorable missing data.
    Wang CY; Huang Y; Chao EC; Jeffcoat MK
    Biometrics; 2008 Mar; 64(1):85-95. PubMed ID: 17608787
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian latent factor regression for functional and longitudinal data.
    Montagna S; Tokdar ST; Neelon B; Dunson DB
    Biometrics; 2012 Dec; 68(4):1064-73. PubMed ID: 23005895
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian model selection for incomplete data using the posterior predictive distribution.
    Daniels MJ; Chatterjee AS; Wang C
    Biometrics; 2012 Dec; 68(4):1055-63. PubMed ID: 22551040
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Model selection for generalized estimating equations accommodating dropout missingness.
    Shen CW; Chen YH
    Biometrics; 2012 Dec; 68(4):1046-54. PubMed ID: 22463099
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of matched case-control data in presence of nonignorable missing exposure.
    Sinha S; Maiti T
    Biometrics; 2008 Mar; 64(1):106-14. PubMed ID: 17573865
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Flexible Bayesian quantile regression for independent and clustered data.
    Reich BJ; Bondell HD; Wang HJ
    Biostatistics; 2010 Apr; 11(2):337-52. PubMed ID: 19948746
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A general class of pattern mixture models for nonignorable dropout with many possible dropout times.
    Roy J; Daniels MJ
    Biometrics; 2008 Jun; 64(2):538-45. PubMed ID: 17900312
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Median regression models for longitudinal data with dropouts.
    Yi GY; He W
    Biometrics; 2009 Jun; 65(2):618-25. PubMed ID: 18759840
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adjusting for nonignorable missingness when estimating generalized additive models.
    Xie H
    Biom J; 2010 Apr; 52(2):186-200. PubMed ID: 20422637
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian joint modeling for partially linear mixed-effects quantile regression of longitudinal and time-to-event data with limit of detection, covariate measurement errors and skewness.
    Zhang H; Huang Y
    J Biopharm Stat; 2021 May; 31(3):295-316. PubMed ID: 33284096
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On the role of Baseline measurements for crossover designs under the self and mixed carryover effects model.
    Liang Y; Carriere KC
    Biometrics; 2010 Mar; 66(1):140-8. PubMed ID: 19432775
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout.
    Lee M; Lee K; Lee J
    Biom J; 2014 Mar; 56(2):230-42. PubMed ID: 24430985
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian pattern-mixture models for dropout and intermittently missing data in longitudinal data analysis.
    Blozis SA
    Behav Res Methods; 2024 Mar; 56(3):1953-1967. PubMed ID: 37221346
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Robust imputation method for missing values in microarray data.
    Yoon D; Lee EK; Park T
    BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S6. PubMed ID: 17493255
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.