These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 23814631)

  • 1. BAYESIAN MODELING LONGITUDINAL DYADIC DATA WITH NONIGNORABLE DROPOUT, WITH APPLICATION TO A BREAST CANCER STUDY.
    Zhang G; Yuan Y
    Ann Appl Stat; 2012 Jun; 6(2):753-771. PubMed ID: 23814631
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian latent-class mixed-effect hybrid models for dyadic longitudinal data with non-ignorable dropouts.
    Ahn J; Liu S; Wang W; Yuan Y
    Biometrics; 2013 Dec; 69(4):914-24. PubMed ID: 24328715
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian analysis of longitudinal dyadic data with informative missing data using a dyadic shared-parameter model.
    Ahn J; Morita S; Wang W; Yuan Y
    Stat Methods Med Res; 2019 Jan; 28(1):70-83. PubMed ID: 28629259
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches.
    Chan JS
    Biom J; 2016 May; 58(3):549-69. PubMed ID: 26467236
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout.
    Forster JE; MaWhinney S; Ball EL; Fairclough D
    Contemp Clin Trials; 2012 Mar; 33(2):378-85. PubMed ID: 22101223
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An exploration of fixed and random effects selection for longitudinal binary outcomes in the presence of nonignorable dropout.
    Li N; Daniels MJ; Li G; Elashoff RM
    Biom J; 2013 Jan; 55(1):17-37. PubMed ID: 23124889
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Analysis of crossover designs with nonignorable dropout.
    Wang X; Chinchilli VM
    Stat Med; 2021 Jan; 40(1):64-84. PubMed ID: 33012039
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian pattern-mixture models for dropout and intermittently missing data in longitudinal data analysis.
    Blozis SA
    Behav Res Methods; 2024 Mar; 56(3):1953-1967. PubMed ID: 37221346
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accounting for dropout reason in longitudinal studies with nonignorable dropout.
    Moore CM; MaWhinney S; Forster JE; Carlson NE; Allshouse A; Wang X; Routy JP; Conway B; Connick E
    Stat Methods Med Res; 2017 Aug; 26(4):1854-1866. PubMed ID: 26078357
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian inference from incomplete longitudinal data: a simple method to quantify sensitivity to nonignorable dropout.
    Xie H
    Stat Med; 2009 Sep; 28(22):2725-47. PubMed ID: 19572257
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Two-Step Approach for Analysis of Nonignorable Missing Outcomes in Longitudinal Regression: an Application to Upstate KIDS Study.
    Liu D; Yeung EH; McLain AC; Xie Y; Buck Louis GM; Sundaram R
    Paediatr Perinat Epidemiol; 2017 Sep; 31(5):468-478. PubMed ID: 28767145
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modeling longitudinal data with nonignorable dropouts using a latent dropout class model.
    Roy J
    Biometrics; 2003 Dec; 59(4):829-36. PubMed ID: 14969461
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved
    Li D; Wang L
    J Appl Stat; 2022; 49(11):2767-2788. PubMed ID: 35909666
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian Analysis of Tweedie Compound Poisson Partial Linear Mixed Models with Nonignorable Missing Response and Covariates.
    Wu Z; Duan X; Zhang W
    Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981394
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of crossover designs for longitudinal binary data with ignorable and nonignorable dropout.
    Wang X; Chinchilli VM
    Stat Methods Med Res; 2022 Jan; 31(1):119-138. PubMed ID: 34779672
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial.
    Muthén B; Asparouhov T; Hunter AM; Leuchter AF
    Psychol Methods; 2011 Mar; 16(1):17-33. PubMed ID: 21381817
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimators based on Unconventional Likelihoods with Nonignorable Missing Data and its Application to a Children's Mental Health Study.
    Zhao J; Chen C
    J Nonparametr Stat; 2019; 31(4):911-931. PubMed ID: 33013146
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies with Nonignorable Missingness with Application to an Acute Schizophrenia Clinical Trial.
    Linero AR; Daniels MJ
    J Am Stat Assoc; 2015 Mar; 110(509):45-55. PubMed ID: 26236060
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Joint modeling of event time and nonignorable missing longitudinal data.
    Dupuy JF; Mesbah M
    Lifetime Data Anal; 2002 Jun; 8(2):99-115. PubMed ID: 12048867
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.