Abstract Details
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Activity Number:
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329
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Mental Health Statistics Section
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Abstract #311539
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Title:
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Why Do We Need Zero-Inflated Model
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Author(s):
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Naiji Lu*+
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Companies:
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University of Rochester
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Keywords:
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Zero Inflated Model ;
negative binomial regression
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Abstract:
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Zero-inflated models became popular in lots of research areas. It's certainly the case that the Poisson regression model often fits the data poorly because of overdispersion.The zero inflated Poisson (ZIP) model is one way to allow for overdispersion. In cases of overdispersion, the ZIP model typically fits better than a standard Poisson model. But there's another model that allows for overdispersion, and that's the standard negative binomial regression model. we will compare the methodology and performance of these two models and give suggestions for the choice between ZIP and negative binomial.
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Authors who are presenting talks have a * after their name.
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