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Biometrics. 2001 Mar;57(1):219-23.

A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.

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Horticulture Research International, West Malling, Kent, UK.


Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero-inflated Poisson regression models are a useful class of models for such data, but parameter estimates may be seriously biased if the nonzero counts are overdispersed in relation to the Poisson distribution. We therefore provide a score test for testing zero-inflated Poisson regression models against zero-inflated negative binomial alternatives.

[Indexed for MEDLINE]

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