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Score Tests for Zero-Inflation in Overdispersed Count Data
Communications in Statistics - Theory and Methods, 2010The negative binomial (NB) model and the generalized Poisson (GP) model are common alternatives to Poisson models when overdispersion is present in the data. Having accounted for initial overdispersion, we may require further investigation as to whether there is evidence for zero-inflation in the data. Two score statistics are derived from the GP model
Zhao Yang, James W Hardin
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Sensitivity of score tests for zero-inflation in count data
Statistics in Medicine, 2004AbstractIn many biomedical applications, count data have a large proportion of zeros and the zero‐inflated Poisson regression (ZIP) model may be appropriate. A popular score test for zero‐inflation, comparing the ZIP model to a standard Poisson regression model, was given by van den Broek.
Andy H Lee, Liming Xiang
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Score tests for zero-inflation and overdispersion in two-level count data
Computational Statistics and Data Analysis, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hwa-Kyung Lim, Byoung Cheol Jung
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Score tests for zero inflation in generalized linear models
Canadian Journal of Statistics, 2000AbstractThe authors develop score tests of goodness of fit for discrete generalized linear models against zero inflation. The binomial and Poisson models are treated as examples, and in the latter case the proposed test reduces to that of Broek (1995). Some simulation results and an illustrative example are presented.
Dianliang Deng, Sudhir Paul
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A robust score test of homogeneity for zero-inflated count data
Statistical Methods in Medical Research, 2020In many applications of zero-inflated models, score tests are often used to evaluate whether the population heterogeneity as implied by these models is consistent with the data. The most frequently cited justification for using score tests is that they only require estimation under the null hypothesis.
Wei-Wen Hsu +4 more
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Score Tests for Zero-Inflated Poisson Models
Computational Statistics & Data Analysis, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jansakul, N., Hinde, J. P.
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A score test for zero-inflation in multilevel count data
Computational Statistics & Data Analysis, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abbas Moghimbeigi +3 more
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Score tests for overdispersion in zero-inflated Poisson mixed models
Computational Statistics & Data Analysis, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao Yang +2 more
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Biometrics, 2001
Summary. 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.
Ridout, Martin +2 more
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Summary. 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.
Ridout, Martin +2 more
openaire +2 more sources