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

@article{Ridout2001AST,
  title={A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.},
  author={M. S. Ridout and John Hinde and Clarice Garcia Borges Dem{\'e}trio},
  journal={Biometrics},
  year={2001},
  volume={57 1},
  pages={
          219-23
        }
}
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. 
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