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Journal Abstract Search

253 related items for PubMed ID: 22269508

  • 1. The negative binomial-Lindley generalized linear model: characteristics and application using crash data.
    Geedipally SR, Lord D, Dhavala SS.
    Accid Anal Prev; 2012 Mar; 45():258-65. PubMed ID: 22269508
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  • 2. The negative binomial-Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros.
    Lord D, Geedipally SR.
    Accid Anal Prev; 2011 Sep; 43(5):1738-42. PubMed ID: 21658501
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  • 3. Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes.
    Lord D, Guikema SD, Geedipally SR.
    Accid Anal Prev; 2008 May; 40(3):1123-34. PubMed ID: 18460381
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  • 4. A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data.
    Shirazi M, Lord D, Dhavala SS, Geedipally SR.
    Accid Anal Prev; 2016 Jun; 91():10-8. PubMed ID: 26945472
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  • 6. Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates.
    Lord D, Park PY.
    Accid Anal Prev; 2008 Jul; 40(4):1441-57. PubMed ID: 18606278
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  • 9. Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models.
    Kim DG, Lee Y, Washington S, Choi K.
    Accid Anal Prev; 2007 Jan; 39(1):125-34. PubMed ID: 16925978
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  • 14. Statistical modelling of falls count data with excess zeros.
    Khan A, Ullah S, Nitz J.
    Inj Prev; 2011 Aug; 17(4):266-70. PubMed ID: 21653652
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  • 16. Modeling motor vehicle crashes using Poisson-gamma models: examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter.
    Lord D.
    Accid Anal Prev; 2006 Jul; 38(4):751-66. PubMed ID: 16545328
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  • 19. Application of finite mixture of negative binomial regression models with varying weight parameters for vehicle crash data analysis.
    Zou Y, Zhang Y, Lord D.
    Accid Anal Prev; 2013 Jan; 50():1042-51. PubMed ID: 23022076
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  • 20. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence.
    Miaou SP, Song JJ.
    Accid Anal Prev; 2005 Jul; 37(4):699-720. PubMed ID: 15949462
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