BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 31242813)

  • 1. Multivariate-
    Lin TI; Wang WL
    Stat Methods Med Res; 2020 May; 29(5):1288-1304. PubMed ID: 31242813
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Extending multivariate- t linear mixed models for multiple longitudinal data with censored responses and heavy tails.
    Wang WL; Lin TI; Lachos VH
    Stat Methods Med Res; 2018 Jan; 27(1):48-64. PubMed ID: 26668091
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies.
    Lin TI; Wang WL
    Biom J; 2022 Oct; 64(7):1325-1339. PubMed ID: 35723051
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multivariate t linear mixed models for irregularly observed multiple repeated measures with missing outcomes.
    Wang WL
    Biom J; 2013 Jul; 55(4):554-71. PubMed ID: 23740830
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes.
    Lin TI; Wang WL
    Stat Methods Med Res; 2023 Mar; 32(3):593-608. PubMed ID: 36624626
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multivariate longitudinal data analysis with censored and intermittent missing responses.
    Lin TI; Lachos VH; Wang WL
    Stat Med; 2018 May; ():. PubMed ID: 29740829
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Censored linear regression models for irregularly observed longitudinal data using the multivariate- t distribution.
    Garay AM; Castro LM; Leskow J; Lachos VH
    Stat Methods Med Res; 2017 Apr; 26(2):542-566. PubMed ID: 25296865
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multivariate-$t$ nonlinear mixed models with application to censored multi-outcome AIDS studies.
    Lin TI; Wang WL
    Biostatistics; 2017 Oct; 18(4):666-681. PubMed ID: 28369172
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimation in multivariate
    Taavoni M; Arashi M
    Biom J; 2022 Mar; 64(3):539-556. PubMed ID: 34821410
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian analysis of multivariate linear mixed models with censored and intermittent missing responses.
    Wang WL
    Stat Med; 2020 Aug; 39(19):2518-2535. PubMed ID: 32424861
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Flexible longitudinal linear mixed models for multiple censored responses data.
    Lachos VH; A Matos L; Castro LM; Chen MH
    Stat Med; 2019 Mar; 38(6):1074-1102. PubMed ID: 30421470
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extending multivariate Student's-
    Mattos TB; Lachos VH; Castro LM; Matos LA
    Stat Med; 2022 Aug; 41(19):3696-3719. PubMed ID: 35596519
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Influence assessment in censored mixed-effects models using the multivariate Student's-
    Matos LA; Bandyopadhyay D; Castro LM; Lachos VH
    J Multivar Anal; 2015 Oct; 141():104-117. PubMed ID: 26190871
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A semiparametric mixed-effects model for censored longitudinal data.
    Mattos TB; Avila Matos L; Lachos VH
    Stat Methods Med Res; 2021 Dec; 30(12):2582-2603. PubMed ID: 34661487
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robust linear mixed models using the skew t distribution with application to schizophrenia data.
    Ho HJ; Lin TI
    Biom J; 2010 Aug; 52(4):449-69. PubMed ID: 20680971
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mixed-effects models for censored data with autoregressive errors.
    Olivari RC; Garay AM; Lachos VH; Matos LA
    J Biopharm Stat; 2021 May; 31(3):273-294. PubMed ID: 33315523
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust inference for mixed censored and binary response models with missing covariates.
    Sarkar A; Das K; Sinha SK
    Stat Methods Med Res; 2016 Oct; 25(5):1836-1853. PubMed ID: 24108268
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mixtures of
    Wang WL; Castro LM; Li HJ; Lin TI
    Br J Math Stat Psychol; 2024 May; 77(2):316-336. PubMed ID: 38095333
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Efficient Robust Estimation for Linear Models with Missing Response at Random.
    Tang ML; Tang N; Zhao P; Zhu H
    Scand Stat Theory Appl; 2018 Jun; 45(2):366-381. PubMed ID: 30078929
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.