BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 16217856)

  • 21. Marginal regression models with a time to event outcome and discrete multiple source predictors.
    Litman HJ; Horton NJ; Murphy JM; Laird NM
    Lifetime Data Anal; 2006 Sep; 12(3):249-65. PubMed ID: 17021951
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Modified Gaussian estimation for correlated binary data.
    Zhang X; Paul S
    Biom J; 2013 Nov; 55(6):885-98. PubMed ID: 24127402
    [TBL] [Abstract][Full Text] [Related]  

  • 23. GEE for multinomial responses using a local odds ratios parameterization.
    Touloumis A; Agresti A; Kateri M
    Biometrics; 2013 Sep; 69(3):633-40. PubMed ID: 23724948
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Penalized generalized estimating equations for high-dimensional longitudinal data analysis.
    Wang L; Zhou J; Qu A
    Biometrics; 2012 Jun; 68(2):353-60. PubMed ID: 21955051
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Generalized partially linear models for incomplete longitudinal data in the presence of population-level information.
    Chen B; Zhou XH
    Biometrics; 2013 Jun; 69(2):386-95. PubMed ID: 23413768
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Joint partially linear model for longitudinal data with informative drop-outs.
    Kim S; Zeng D; Taylor JM
    Biometrics; 2017 Mar; 73(1):72-82. PubMed ID: 27479944
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An investigation of penalization and data augmentation to improve convergence of generalized estimating equations for clustered binary outcomes.
    Geroldinger A; Blagus R; Ogden H; Heinze G
    BMC Med Res Methodol; 2022 Jun; 22(1):168. PubMed ID: 35681120
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Bivariate categorical data analysis using normal linear conditional multinomial probability model.
    Sun B; Sutradhar B
    Stat Med; 2015 Feb; 34(3):469-86. PubMed ID: 25320019
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Sensitivity analysis of longitudinal binary quality of life data with drop-out: an example using the EORTC QLQ-C30.
    Van Steen K; Curran D; Molenberghs G
    Stat Med; 2001 Dec; 20(24):3901-20. PubMed ID: 11782042
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Application of robust estimating equations to the analysis of quantitative longitudinal data.
    Hu M; Lachin JM
    Stat Med; 2001 Nov; 20(22):3411-28. PubMed ID: 11746326
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Estimating equations with nonignorably missing response data.
    Wang YG
    Biometrics; 1999 Sep; 55(3):984-9. PubMed ID: 11315039
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Maximum likelihood estimation of marginal pairwise associations with multiple source predictors.
    O'Brien LM; Fitzmaurice GM; Horton NJ
    Biom J; 2006 Aug; 48(5):860-75. PubMed ID: 17094349
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An imputation strategy for incomplete longitudinal ordinal data.
    Demirtas H; Hedeker D
    Stat Med; 2008 Sep; 27(20):4086-93. PubMed ID: 18338313
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Model selection of generalized estimating equations with multiply imputed longitudinal data.
    Shen CW; Chen YH
    Biom J; 2013 Nov; 55(6):899-911. PubMed ID: 23970494
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Optimal design of longitudinal data analysis using generalized estimating equation models.
    Liu J; Colditz GA
    Biom J; 2017 Mar; 59(2):315-330. PubMed ID: 27878852
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Analysis of incomplete longitudinal binary data using multiple imputation.
    Li X; Mehrotra DV; Barnard J
    Stat Med; 2006 Jun; 25(12):2107-24. PubMed ID: 16220495
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. A profile likelihood approach for longitudinal data analysis.
    Chen Z; Tang ML; Gao W
    Biometrics; 2018 Mar; 74(1):220-228. PubMed ID: 28444692
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Shrinkage empirical likelihood estimator in longitudinal analysis with time-dependent covariates--application to modeling the health of Filipino children.
    Leung DH; Small DS; Qin J; Zhu M
    Biometrics; 2013 Sep; 69(3):624-32. PubMed ID: 23845158
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.