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 *

502 related articles for article (PubMed ID: 7501743)

  • 1. Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models.
    Gardner W; Mulvey EP; Shaw EC
    Psychol Bull; 1995 Nov; 118(3):392-404. PubMed ID: 7501743
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?
    Ver Hoef JM; Boveng PL
    Ecology; 2007 Nov; 88(11):2766-72. PubMed ID: 18051645
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A score test for overdispersion in zero-inflated poisson mixed regression model.
    Xiang L; Lee AH; Yau KK; McLachlan GJ
    Stat Med; 2007 Mar; 26(7):1608-22. PubMed ID: 16794991
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The analysis of incontinence episodes and other count data in patients with overactive bladder by Poisson and negative binomial regression.
    Martina R; Kay R; van Maanen R; Ridder A
    Pharm Stat; 2015; 14(2):151-60. PubMed ID: 25524209
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The analysis of count data: a gentle introduction to poisson regression and its alternatives.
    Coxe S; West SG; Aiken LS
    J Pers Assess; 2009 Mar; 91(2):121-36. PubMed ID: 19205933
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Understanding poisson regression.
    Hayat MJ; Higgins M
    J Nurs Educ; 2014 Apr; 53(4):207-15. PubMed ID: 24654593
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Joint Poisson State-Space Modelling Approach to Analysis of Binomial Series with Random Cluster Sizes.
    Yan G; Ma R; Tariqul Hasan M
    Int J Biostat; 2019 Mar; 15(1):. PubMed ID: 30897063
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Generalized Poisson distribution: the property of mixture of Poisson and comparison with negative binomial distribution.
    Joe H; Zhu R
    Biom J; 2005 Apr; 47(2):219-29. PubMed ID: 16389919
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.
    Ridout M; Hinde J; Demétrio CG
    Biometrics; 2001 Mar; 57(1):219-23. PubMed ID: 11252601
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Count data distributions and their zero-modified equivalents as a framework for modelling microbial data with a relatively high occurrence of zero counts.
    Gonzales-Barron U; Kerr M; Sheridan JJ; Butler F
    Int J Food Microbiol; 2010 Jan; 136(3):268-77. PubMed ID: 19913934
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An extended random-effects approach to modeling repeated, overdispersed count data.
    Molenberghs G; Verbeke G; Demétrio CG
    Lifetime Data Anal; 2007 Dec; 13(4):513-31. PubMed ID: 17999182
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On performance of parametric and distribution-free models for zero-inflated and over-dispersed count responses.
    Tang W; Lu N; Chen T; Wang W; Gunzler DD; Han Y; Tu XM
    Stat Med; 2015 Oct; 34(24):3235-45. PubMed ID: 26078035
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A flexible count data regression model for risk analysis.
    Guikema SD; Coffelt JP
    Risk Anal; 2008 Feb; 28(1):213-23. PubMed ID: 18304118
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comments on "Longitudinal beta-binomial modeling using GEE for overdispersed binomial data".
    Inan G
    Stat Med; 2018 Feb; 37(3):503-505. PubMed ID: 29333650
    [No Abstract]   [Full Text] [Related]  

  • 15. Flexible parametrization of variance functions for quantal response data derived from counts.
    Chen Y; Hanson T
    J Biopharm Stat; 2017; 27(5):858-868. PubMed ID: 28296567
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparing methods for analyzing overdispersed count data in aquatic toxicology.
    Noe DA; Bailer AJ; Noble RB
    Environ Toxicol Chem; 2010 Jan; 29(1):212-9. PubMed ID: 20821437
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Marginalized zero-inflated negative binomial regression with application to dental caries.
    Preisser JS; Das K; Long DL; Divaris K
    Stat Med; 2016 May; 35(10):1722-35. PubMed ID: 26568034
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [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]  

  • 19. A new approach to analyse longitudinal epidemiological data with an excess of zeros.
    Spriensma AS; Hajos TR; de Boer MR; Heymans MW; Twisk JW
    BMC Med Res Methodol; 2013 Feb; 13():27. PubMed ID: 23425202
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Application of negative binomial regression and modified Poisson regression in the research of risk factors for injury frequency].
    Cao Q; Wu Z; Sun Y; Wang T; Han T; Gu C; Sun Y
    Wei Sheng Yan Jiu; 2011 Nov; 40(6):702-4, 708. PubMed ID: 22279660
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.