BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 12762439)

  • 1. Marginal analyses of clustered data when cluster size is informative.
    Williamson JM; Datta S; Satten GA
    Biometrics; 2003 Mar; 59(1):36-42. PubMed ID: 12762439
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes.
    Wang M; Kong M; Datta S
    Stat Methods Med Res; 2011 Aug; 20(4):347-67. PubMed ID: 20223781
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Model selection for semiparametric marginal mean regression accounting for within-cluster subsampling variability and informative cluster size.
    Shen CW; Chen YH
    Biometrics; 2018 Sep; 74(3):934-943. PubMed ID: 29534287
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling survival data with informative cluster size.
    Williamson JM; Kim HY; Manatunga A; Addiss DG
    Stat Med; 2008 Feb; 27(4):543-55. PubMed ID: 17640035
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Informative cluster sizes for subcluster-level covariates and weighted generalized estimating equations.
    Huang Y; Leroux B
    Biometrics; 2011 Sep; 67(3):843-51. PubMed ID: 21281273
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modified robust variance estimator for generalized estimating equations with improved small-sample performance.
    Wang M; Long Q
    Stat Med; 2011 May; 30(11):1278-91. PubMed ID: 21538453
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Marginal analysis of correlated failure time data with informative cluster sizes.
    Cong XJ; Yin G; Shen Y
    Biometrics; 2007 Sep; 63(3):663-72. PubMed ID: 17825000
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Small sample GEE estimation of regression parameters for longitudinal data.
    Paul S; Zhang X
    Stat Med; 2014 Sep; 33(22):3869-81. PubMed ID: 24797886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inferring marginal association with paired and unpaired clustered data.
    Lorenz DJ; Levy S; Datta S
    Stat Methods Med Res; 2018 Jun; 27(6):1806-1817. PubMed ID: 27655806
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semiparametric marginal methods for clustered data adjusting for informative cluster size with nonignorable zeros.
    Shen B; Chen C; Chinchilli VM; Ghahramani N; Zhang L; Wang M
    Biom J; 2022 Jun; 64(5):898-911. PubMed ID: 35257406
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Marginal analysis of multiple outcomes with informative cluster size.
    Mitani AA; Kaye EK; Nelson KP
    Biometrics; 2021 Mar; 77(1):271-282. PubMed ID: 32073645
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Regression analysis of clustered failure time data with informative cluster size under the additive transformation models.
    Chen L; Feng Y; Sun J
    Lifetime Data Anal; 2017 Oct; 23(4):651-670. PubMed ID: 27761797
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Marginal analysis of ordinal clustered longitudinal data with informative cluster size.
    Mitani AA; Kaye EK; Nelson KP
    Biometrics; 2019 Sep; 75(3):938-949. PubMed ID: 30859544
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Rank-based inference for covariate and group effects in clustered data in presence of informative intra-cluster group size.
    Dutta S; Datta S
    Stat Med; 2018 Dec; 37(30):4807-4822. PubMed ID: 30232808
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models.
    Lam KF; Lee CY; Wong KY; Bandyopadhyay D
    Stat Med; 2021 May; 40(10):2400-2412. PubMed ID: 33586218
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cluster randomized trials with a small number of clusters: which analyses should be used?
    Leyrat C; Morgan KE; Leurent B; Kahan BC
    Int J Epidemiol; 2018 Feb; 47(1):321-331. PubMed ID: 29025158
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A semiparametric joint model for cluster size and subunit-specific interval-censored outcomes.
    Lee CY; Wong KY; Lam KF; Bandyopadhyay D
    Biometrics; 2023 Sep; 79(3):2010-2022. PubMed ID: 36377514
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random.
    Preisser JS; Lohman KK; Rathouz PJ
    Stat Med; 2002 Oct; 21(20):3035-54. PubMed ID: 12369080
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative.
    Dutta S; Datta S
    Biometrics; 2016 Jun; 72(2):432-40. PubMed ID: 26575695
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pseudo-value regression of clustered multistate current status data with informative cluster sizes.
    Anyaso-Samuel S; Bandyopadhyay D; Datta S
    Stat Methods Med Res; 2023 Aug; 32(8):1494-1510. PubMed ID: 37323013
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.