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Exact Poisson Regression

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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Modelling of filariasis in East Java with Poisson regression and generalized Poisson regression models

AIP Conference Proceedings, 2016
Poisson regression has been used if the response variable is count data that based on the Poisson distribution. The Poisson distribution assumed equal dispersion. In fact, a situation where count data are over dispersion or under dispersion so that Poisson regression inappropriate because it may underestimate the standard errors and overstate the ...
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Limited Dependent Poisson Regression

The Statistician, 1992
The paper introduces aspects of statistical inference in Poisson regression models, with a dependent variable subject to truncation and/or censoring.
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Poisson Regression

Beyond Multiple Linear Regression, 2021
P. Roback, J. Legler
semanticscholar   +1 more source

Poisson Regression Analysis [PDF]

open access: possible, 2018
K V S Sarma, R Vishnu Vardhan
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Compound Poisson Regression Models

1982
Count data are easily modelled in GLIM using the Poisson distribution. However, in modelling such data the counts are often aggregated over one or more factors, or important explanatory variables are unavailable and as a result the fit obtained is often poor.
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Regression: Poisson

International Journal of Injury Control and Safety Promotion, 2018
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