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 *

106 related articles for article (PubMed ID: 29276335)

  • 1. The Validation of a Beta-Binomial Model for Overdispersed Binomial Data.
    Kim J; Lee JH
    Commun Stat Simul Comput; 2017; 46(2):807-814. PubMed ID: 29276335
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comparison of observation-level random effect and Beta-Binomial models for modelling overdispersion in Binomial data in ecology & evolution.
    Harrison XA
    PeerJ; 2015; 3():e1114. PubMed ID: 26244118
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of mixed correlated overdispersed binomial and ordinal longitudinal responses: LogLindley-Binomial and ordinal random effects model.
    Azimi SS; Bahrami Samani E; Ganjali M
    J Appl Stat; 2022; 49(7):1742-1768. PubMed ID: 35707561
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Longitudinal beta-binomial modeling using GEE for overdispersed binomial data.
    Wu H; Zhang Y; Long JD
    Stat Med; 2017 Mar; 36(6):1029-1040. PubMed ID: 27917499
    [TBL] [Abstract][Full Text] [Related]  

  • 5. On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data.
    Tharshan R; Wijekoon P
    ScientificWorldJournal; 2022; 2022():8171461. PubMed ID: 36097508
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A robust regression model for bounded count health data.
    Bayes CL; Bazán JL; Valdivieso L
    Stat Methods Med Res; 2024 Jun; ():9622802241259178. PubMed ID: 38847408
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model.
    Kassahun W; Neyens T; Molenberghs G; Faes C; Verbeke G
    Arch Public Health; 2012 Apr; 70(1):7. PubMed ID: 22958735
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Maximum likelihood estimation of the negative binomial dispersion parameter for highly overdispersed data, with applications to infectious diseases.
    Lloyd-Smith JO
    PLoS One; 2007 Feb; 2(2):e180. PubMed ID: 17299582
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparing methods for analyzing overdispersed binary data in aquatic toxicology.
    Noble RB; Bailer AJ; Noe DA
    Environ Toxicol Chem; 2009 May; 28(5):997-1006. PubMed ID: 19049261
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimation for zero-inflated beta-binomial regression model with missing response data.
    Luo R; Paul S
    Stat Med; 2018 Nov; 37(26):3789-3813. PubMed ID: 29888415
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of hypoglycemic events using negative binomial models.
    Luo J; Qu Y
    Pharm Stat; 2013; 12(4):233-42. PubMed ID: 23776062
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Revisiting the analysis pipeline for overdispersed Poisson and binomial data.
    Lee W; Kim J; Lee D
    J Appl Stat; 2023; 50(7):1455-1476. PubMed ID: 37197756
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Marginal likelihood estimation of negative binomial parameters with applications to RNA-seq data.
    León-Novelo L; Fuentes C; Emerson S
    Biostatistics; 2017 Oct; 18(4):637-650. PubMed ID: 28369228
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modeling the dependence between number of trials and success probability in beta-binomial-Poisson mixture distributions.
    Zhu J; Eickhoff JC; Kaiser MS
    Biometrics; 2003 Dec; 59(4):955-61. PubMed ID: 14969474
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data.
    Schütt HH; Harmeling S; Macke JH; Wichmann FA
    Vision Res; 2016 May; 122():105-123. PubMed ID: 27013261
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bias-corrected maximum likelihood estimator of the intraclass correlation parameter for binary data.
    Saha KK; Paul SR
    Stat Med; 2005 Nov; 24(22):3497-512. PubMed ID: 16007569
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Application of detecting and taking overdispersion into account in Poisson regression model].
    Bouche G; Lepage B; Migeot V; Ingrand P
    Rev Epidemiol Sante Publique; 2009 Aug; 57(4):285-96. PubMed ID: 19540683
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robust inference in the negative binomial regression model with an application to falls data.
    Aeberhard WH; Cantoni E; Heritier S
    Biometrics; 2014 Dec; 70(4):920-31. PubMed ID: 25156188
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Genetic analysis of fertility in dairy cattle using negative binomial mixed models.
    Tempelman RJ; Gianola D
    J Dairy Sci; 1999 Aug; 82(8):1834-47. PubMed ID: 10480111
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Experimental verification of overdispersion in radioassay data.
    Semkow TM
    Health Phys; 2002 Oct; 83(4):485-96. PubMed ID: 12240723
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.