BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 17656450)

  • 1. Random-effects models for multivariate repeated measures.
    Fieuws S; Verbeke G; Molenberghs G
    Stat Methods Med Res; 2007 Oct; 16(5):387-97. PubMed ID: 17656450
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A high-dimensional joint model for longitudinal outcomes of different nature.
    Faes C; Aerts M; Molenberghs G; Geys H; Teuns G; Bijnens L
    Stat Med; 2008 Sep; 27(22):4408-27. PubMed ID: 18551509
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Joint modelling of multivariate longitudinal profiles: pitfalls of the random-effects approach.
    Fieuws S; Verbeke G
    Stat Med; 2004 Oct; 23(20):3093-104. PubMed ID: 15449333
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting renal graft failure using multivariate longitudinal profiles.
    Fieuws S; Verbeke G; Maes B; Vanrenterghem Y
    Biostatistics; 2008 Jul; 9(3):419-31. PubMed ID: 18056686
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data.
    Stijnen T; Hamza TH; Ozdemir P
    Stat Med; 2010 Dec; 29(29):3046-67. PubMed ID: 20827667
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Shared parameter models for the joint analysis of longitudinal data and event times.
    Vonesh EF; Greene T; Schluchter MD
    Stat Med; 2006 Jan; 25(1):143-63. PubMed ID: 16025541
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Robustness of a parametric model for informatively censored bivariate longitudinal data under misspecification of its distributional assumptions: A simulation study.
    Pantazis N; Touloumi G
    Stat Med; 2007 Dec; 26(30):5473-85. PubMed ID: 18058854
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Order-restricted inference for multivariate longitudinal data with applications to the natural history of hearing loss.
    Rosen S; Davidov O
    Stat Med; 2012 Jul; 31(16):1761-73. PubMed ID: 22729892
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A mixed-effects regression model for longitudinal multivariate ordinal data.
    Liu LC; Hedeker D
    Biometrics; 2006 Mar; 62(1):261-8. PubMed ID: 16542254
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Flexible modeling via a hybrid estimation scheme in generalized mixed models for longitudinal data.
    Leung Lai T; Shih MC; Wong SP
    Biometrics; 2006 Mar; 62(1):159-67. PubMed ID: 16542242
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Latent-variable models for longitudinal data with bivariate ordinal outcomes.
    Todem D; Kim K; Lesaffre E
    Stat Med; 2007 Feb; 26(5):1034-54. PubMed ID: 16832841
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Two-stage functional mixed models for evaluating the effect of longitudinal covariate profiles on a scalar outcome.
    Zhang D; Lin X; Sowers M
    Biometrics; 2007 Jun; 63(2):351-62. PubMed ID: 17688488
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Linear mixed models for longitudinal shape data with applications to facial modeling.
    Barry SJ; Bowman AW
    Biostatistics; 2008 Jul; 9(3):555-65. PubMed ID: 18256041
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A mixed autoregressive probit model for ordinal longitudinal data.
    Varin C; Czado C
    Biostatistics; 2010 Jan; 11(1):127-38. PubMed ID: 19948742
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial.
    Mwangi M; Molenberghs G; Njagi EN; Mwalili S; Braekers R; Florez AJ; Gachau S; Bukania ZN; Verbeke G
    Biom J; 2024 Mar; 66(2):e2200333. PubMed ID: 38499515
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Move over ANOVA: progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry.
    Gueorguieva R; Krystal JH
    Arch Gen Psychiatry; 2004 Mar; 61(3):310-7. PubMed ID: 14993119
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.