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A generalized Poisson regression analysis of determinants of early neonatal mortality in Ethiopia using 2019 Ethiopian mini demographic health survey. [PDF]
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A Poisson ridge regression estimator
Economic Modelling, 2011The standard statistical method for analyzing count data is the Poisson regression model, which is usually estimated using maximum likelihood (ML) method.
Kristofer Mansson, Ghazi Shukur
exaly +3 more sources
Understanding Poisson Regression
Journal of Nursing Education, 2014Nurse investigators often collect study data in the form of counts. Traditional methods of data analysis have historically approached analysis of count data either as if the count data were continuous and normally distributed or with dichotomization of the counts into the categories of occurred or did not occur.
Matthew J, Hayat, Melinda, Higgins
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Optimal Poisson Subsampling for Softmax Regression
Journal of Systems Science and Complexity, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yaqiong Yao +2 more
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Zero-Inflated Poisson Regression Testing In Handling Overdispersion On Poisson Regression
JMEA : Journal of Mathematics Education and Application, 2023The classical linear regression analysis is an analysis aimed at knowing the relationship between the response variables and the explanatory variables assuming the normal distribution data, but in the applied data is often not the case. Generalized Linear Model (GLM) was developed for data in the form of categorical and discrete distribution.
Sari, Mutia, Darnius, Open
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Subset Selection in Poisson Regression
Journal of Statistical Theory and Practice, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sakate, D. M. +2 more
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Regression correlation coefficient for a Poisson regression model
Computational Statistics & Data Analysis, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akihito Takahashi, Takeshi Kurosawa
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Poisson Regression with Missing Durations of Exposure
Biometrics, 1999Summary. In this paper, we develop Poisson‐type regression methods that require the durations of exposure be measured only on a possibly nonrandom subset of the cohort members. These methods can be used to make inferences about the incidence density during exposure as well as the ratio of incidence densities during exposure versus not during exposure.
Louise M. Ryan +4 more
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Double Poisson-Tweedie Regression Models
The International Journal of Biostatistics, 2019Abstract In this paper, we further extend the recently proposed Poisson-Tweedie regression models to include a linear predictor for the dispersion as well as for the expectation of the count response variable.
Ricardo R. Petterle +5 more
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