Marginalized zero-inflated negative binomial regression with application to dental caries
about
Marginal mean models for zero-inflated count dataModeling zero-modified count and semicontinuous data in health services research Part 1: background and overview.Modeling zero-modified count and semicontinuous data in health services research part 2: case studies.Marginalized mixture models for count data from multiple source populationsMatching the Statistical Model to the Research Question for Dental Caries Indices with Many Zero Counts.Chronic Condition Combinations and Productivity Loss Among Employed Nonelderly Adults (18 to 64 Years).Two-Part and Related Regression Models for Longitudinal Data.Modeling count data in the addiction field: Some simple recommendations.Impact of Early Head Start in North Carolina on Dental Care Use Among Children Younger Than 3 Years.
P2860
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P2860
Marginalized zero-inflated negative binomial regression with application to dental caries
description
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name
Marginalized zero-inflated negative binomial regression with application to dental caries
@en
type
label
Marginalized zero-inflated negative binomial regression with application to dental caries
@en
prefLabel
Marginalized zero-inflated negative binomial regression with application to dental caries
@en
P2860
P356
P1476
Marginalized zero-inflated negative binomial regression with application to dental caries
@en
P2093
John S Preisser
Kalyan Das
P2860
P304
P356
10.1002/SIM.6804
P407
P577
2015-11-15T00:00:00Z