Marginalized mixture models for count data from multiple source populations

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Marginalized mixture models for count data from multiple source populations

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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Marginalized mixture models for count data from multiple source populations

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Marginalized mixture models for count data from multiple source populations

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Marginalized mixture models for count data from multiple source populations

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Marginalized mixture models for count data from multiple source populations

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Marginalized mixture models for count data from multiple source populations

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Marginalized mixture models for count data from multiple source populations

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P1476

Marginalized mixture models for count data from multiple source populations

@en

P2093

Brian Neelon

http://www.w3.org/2001/XMLSchema#string

Habtamu K Benecha

http://www.w3.org/2001/XMLSchema#string

John S Preisser

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P2860

Marginal mean models for zero-inflated count data

A hierarchical finite mixture model that accommodates zero-inflated counts, non-independence, and heterogeneity.

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

Review and recommendations for zero-inflated count regression modeling of dental caries indices in epidemiological studies.

Marginalized zero-inflated negative binomial regression with application to dental caries

Estimating overall exposure effects for zero-inflated regression models with application to dental caries

Logistic regression for dichotomized counts.

The effect of NaF and SMFP toothpastes on three-year caries increments in adolescents.

The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research.

Mixed Poisson regression models with covariate dependent rates.

P2888

s40488-017-0057-4

P304

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/S40488-017-0057-4

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Kimon Divaris

P577

2017-04-07T00:00:00Z

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P6179

1084612713

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P698

28446995

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P932

5384970

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