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Journal of Statistical Planning and Inference, 2006
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Poisson Regression for Clustered Data
International Statistical Review, 2007SummaryWe compare five methods for parameter estimation of a Poisson regression model for clustered data:(1)ordinary (naive) Poisson regression (OP), which ignores intracluster correlation,(2)Poisson regression with fixed cluster‐specific intercepts (FI),(3)a generalized estimating equations (GEE) approach with an equi‐correlation matrix,(4)an exact ...
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Sample Size for Poisson Regression
Biometrika, 1991SUMMARY For the Poisson regression model, an exact expression for Fisher's information matrix, based upon the moment generating function of the distribution of covariates, is calculated. This parallels a similar, approximate, calculation by Whittemore (1981) for logistic regression.
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Zero-inflated Poisson regression, with an application to defects in manufacturing
, 1992D. Lambert
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Specification Test for Poisson Regression Models
International Economic Review, 1986The specification of the Poisson model is tested against some general models for the analysis of counted data. The test of Poisson models is considered against negative binomial distribution, general family of discrete distributions based on Pearson's difference equation and series expansion of distributions.
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2019
Exact Poisson regression is presented. It can be used when outcomes are too rare to justify normality assumptions for P-values and confidence intervals. Mid-P values are an option. Median unbiased estimates are discussed. They can be useful for perfect predictors.
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Exact Poisson regression is presented. It can be used when outcomes are too rare to justify normality assumptions for P-values and confidence intervals. Mid-P values are an option. Median unbiased estimates are discussed. They can be useful for perfect predictors.
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