A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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2017 nî lūn-bûn

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2017年学术文章

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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P1476

A Bayesian approach for analyzing zero-inflated clustered count data with dispersion.

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P2093

Jeremy Gaskins

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Steven Levy

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P2860

Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applications

On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data.

MIXED MODEL AND ESTIMATING EQUATION APPROACHES FOR ZERO INFLATION IN CLUSTERED BINARY RESPONSE DATA WITH APPLICATION TO A DATING VIOLENCE STUDY.

Zero-inflated and hurdle models of count data with extra zeros: examples from an HIV-risk reduction intervention trial

A marginalized zero-inflated Poisson regression model with overall exposure effects.

A Marginalized Zero-inflated Poisson Regression Model with Random Effects

GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries.

Fluoride, beverages and dental caries in the primary dentition.

Bayesian spatial modeling of HIV mortality via zero-inflated Poisson models.

Zero-inflated Poisson and binomial regression with random effects: a case study.

P304

801-812

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P31

scholarly article

P356

10.1002/SIM.7541

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English

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P478

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P50

Somnath Datta

Hyoyoung Choo-Wosoba

P577

2017-11-06T00:00:00Z

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P698

29108124

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P932

5799048

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