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Journal Abstract Search

159 related items for PubMed ID: 25902801

  • 1. Weibull mixture regression for marginal inference in zero-heavy continuous outcomes.
    Gebregziabher M, Voronca D, Teklehaimanot A, Santa Ana EJ.
    Stat Methods Med Res; 2017 Jun; 26(3):1476-1499. PubMed ID: 25902801
    [Abstract] [Full Text] [Related]

  • 2. Direct and flexible marginal inference for semicontinuous data.
    Smith VA, Preisser JS.
    Stat Methods Med Res; 2017 Dec; 26(6):2962-2965. PubMed ID: 26329752
    [Abstract] [Full Text] [Related]

  • 3. A marginalized two-part model for semicontinuous data.
    Smith VA, Preisser JS, Neelon B, Maciejewski ML.
    Stat Med; 2014 Dec 10; 33(28):4891-903. PubMed ID: 25043491
    [Abstract] [Full Text] [Related]

  • 4. Marginalized mixture models for count data from multiple source populations.
    Benecha HK, Neelon B, Divaris K, Preisser JS.
    J Stat Distrib Appl; 2017 Dec 10; 4(1):3. PubMed ID: 28446995
    [Abstract] [Full Text] [Related]

  • 5. Exponentiated Weibull regression for time-to-event data.
    Khan SA.
    Lifetime Data Anal; 2018 Apr 10; 24(2):328-354. PubMed ID: 28349290
    [Abstract] [Full Text] [Related]

  • 6. Use of log-skew-normal distribution in analysis of continuous data with a discrete component at zero.
    Chai HS, Bailey KR.
    Stat Med; 2008 Aug 15; 27(18):3643-55. PubMed ID: 18186536
    [Abstract] [Full Text] [Related]

  • 7. 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 30; 34(24):3235-45. PubMed ID: 26078035
    [Abstract] [Full Text] [Related]

  • 8. A semiparametric marginalized zero-inflated model for analyzing healthcare utilization panel data with missingness.
    Chen T, Zhang H, Zhang B.
    J Appl Stat; 2019 Oct 30; 46(16):2862-2883. PubMed ID: 32952258
    [Abstract] [Full Text] [Related]

  • 9. The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates.
    Mazucheli J, Coelho-Barros EA, Achcar JA.
    Comput Methods Programs Biomed; 2013 Oct 30; 112(1):114-24. PubMed ID: 23932336
    [Abstract] [Full Text] [Related]

  • 10. A probit- log- skew-normal mixture model for repeated measures data with excess zeros, with application to a cohort study of paediatric respiratory symptoms.
    Mahmud S, Lou WW, Johnston NW.
    BMC Med Res Methodol; 2010 Jun 14; 10():55. PubMed ID: 20540810
    [Abstract] [Full Text] [Related]

  • 11. A marginalized two-part model with heterogeneous variance for semicontinuous data.
    Smith VA, Preisser JS.
    Stat Methods Med Res; 2019 May 14; 28(5):1412-1426. PubMed ID: 29451088
    [Abstract] [Full Text] [Related]

  • 12. Integrated likelihoods in parametric survival models for highly clustered censored data.
    Cortese G, Sartori N.
    Lifetime Data Anal; 2016 Jul 14; 22(3):382-404. PubMed ID: 26210670
    [Abstract] [Full Text] [Related]

  • 13. Bayesian mixture cure rate frailty models with an application to gastric cancer data.
    Karamoozian A, Baneshi MR, Bahrampour A.
    Stat Methods Med Res; 2021 Mar 14; 30(3):731-746. PubMed ID: 33243085
    [Abstract] [Full Text] [Related]

  • 14. Local influence measure of zero-inflated generalized Poisson mixture regression models.
    Chen XD, Fu YZ, Wang XR.
    Stat Med; 2013 Apr 15; 32(8):1294-312. PubMed ID: 22903860
    [Abstract] [Full Text] [Related]

  • 15. Two-group comparisons of zero-inflated intensity values: the choice of test statistic matters.
    Gleiss A, Dakna M, Mischak H, Heinze G.
    Bioinformatics; 2015 Jul 15; 31(14):2310-7. PubMed ID: 25788623
    [Abstract] [Full Text] [Related]

  • 16. A collection of marginalized two-part random-effects models for analyzing medical expenditure panel data: Impact of the New Cooperative Medical Scheme on healthcare expenditures in China.
    Zhang B, Liu W, Zhang N, Ash AS, Allison JJ.
    Stat Methods Med Res; 2019 Aug 15; 28(8):2494-2523. PubMed ID: 29945495
    [Abstract] [Full Text] [Related]

  • 17. A marginalized zero-inflated Poisson regression model with overall exposure effects.
    Long DL, Preisser JS, Herring AH, Golin CE.
    Stat Med; 2014 Dec 20; 33(29):5151-65. PubMed ID: 25220537
    [Abstract] [Full Text] [Related]

  • 18. Hypothesis tests for point-mass mixture data with application to 'omics data with many zero values.
    Taylor S, Pollard K.
    Stat Appl Genet Mol Biol; 2009 Dec 20; 8():Article 8. PubMed ID: 19222391
    [Abstract] [Full Text] [Related]

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  • 20. Generalized partially linear single-index model for zero-inflated count data.
    Wang X, Zhang J, Yu L, Yin G.
    Stat Med; 2015 Feb 28; 34(5):876-86. PubMed ID: 25421596
    [Abstract] [Full Text] [Related]

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