BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 16143998)

  • 1. Non-linear random effects model for multivariate responses with missing data.
    Marshall G; De la Cruz-Mesía R; Barón AE; Rutledge JH; Zerbe GO
    Stat Med; 2006 Aug; 25(16):2817-30. PubMed ID: 16143998
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Discriminant analysis for longitudinal data with multiple continuous responses and possibly missing data.
    Marshall G; De la Cruz-Mesía R; Quintana FA; Barón AE
    Biometrics; 2009 Mar; 65(1):69-80. PubMed ID: 18363774
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cluster analysis using multivariate mixed effects models.
    Villarroel L; Marshall G; Barón AE
    Stat Med; 2009 Sep; 28(20):2552-65. PubMed ID: 19536743
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multivariate t nonlinear mixed-effects models for multi-outcome longitudinal data with missing values.
    Wang WL; Lin TI
    Stat Med; 2014 Jul; 33(17):3029-46. PubMed ID: 24634345
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Non-linear random effects models with continuous time autoregressive errors: a Bayesian approach.
    De la Cruz-Mesía R; Marshall G
    Stat Med; 2006 May; 25(9):1471-84. PubMed ID: 16013034
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimation and prediction in linear mixed models with skew-normal random effects for longitudinal data.
    Lin TI; Lee JC
    Stat Med; 2008 Apr; 27(9):1490-507. PubMed ID: 17708515
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian analysis for nonlinear regression model under skewed errors, with application in growth curves.
    De la Cruz R; Branco MD
    Biom J; 2009 Aug; 51(4):588-609. PubMed ID: 19629998
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A model-based approach to Bayesian classification with applications to predicting pregnancy outcomes from longitudinal beta-hCG profiles.
    de la Cruz-Mesía R; Quintana FA
    Biostatistics; 2007 Apr; 8(2):228-38. PubMed ID: 16754632
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Logistic regression when covariates are random effects from a non-linear mixed model.
    De la Cruz R; Marshall G; Quintana FA
    Biom J; 2011 Sep; 53(5):735-49. PubMed ID: 21770044
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pattern-mixture models for multivariate incomplete data with covariates.
    Little RJ; Wang Y
    Biometrics; 1996 Mar; 52(1):98-111. PubMed ID: 8934587
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pairwise fitting of mixed models for the joint modeling of multivariate longitudinal profiles.
    Fieuws S; Verbeke G
    Biometrics; 2006 Jun; 62(2):424-31. PubMed ID: 16918906
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of longitudinal data through a semiparametric mixed-effects model based on lasso-type estimators.
    Arribas-Gil A; De la Cruz R; Lebarbier E; Meza C
    Biometrics; 2015 Jun; 71(2):333-43. PubMed ID: 25639332
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Power analyses for longitudinal study designs with missing data.
    Tu XM; Zhang J; Kowalski J; Shults J; Feng C; Sun W; Tang W
    Stat Med; 2007 Jul; 26(15):2958-81. PubMed ID: 17154250
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalized linear latent variable models for repeated measures of spatially correlated multivariate data.
    Zhu J; Eickhoff JC; Yan P
    Biometrics; 2005 Sep; 61(3):674-83. PubMed ID: 16135018
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of change in the presence of informative censoring: application to a longitudinal clinical trial of progressive renal disease.
    Schluchter MD; Greene T; Beck GJ
    Stat Med; 2001 Apr; 20(7):989-1007. PubMed ID: 11276031
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 26(10):2229-45. PubMed ID: 16900568
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Marginalized random effects models for multivariate longitudinal binary data.
    Lee K; Joo Y; Yoo JK; Lee J
    Stat Med; 2009 Apr; 28(8):1284-300. PubMed ID: 19156673
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Simultaneous inference for semiparametric nonlinear mixed-effects models with covariate measurement errors and missing responses.
    Liu W; Wu L
    Biometrics; 2007 Jun; 63(2):342-50. PubMed ID: 17688487
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An approximate generalized linear model with random effects for informative missing data.
    Follmann D; Wu M
    Biometrics; 1995 Mar; 51(1):151-68. PubMed ID: 7766771
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates.
    Parzen M; Lipsitz SR; Fitzmaurice GM; Ibrahim JG; Troxel A
    Stat Med; 2006 Aug; 25(16):2784-96. PubMed ID: 16345018
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.