Results 281 to 290 of about 292,203 (329)
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1996
Abstract To summarize the different approaches to statistical inference and decisionmaking, an analogy with practice in the medical profession may be useful. This profession has an accumulated knowledge of many diseases - the statistical models. A task of the doctor is to discover which one applies to a particular patient.
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Abstract To summarize the different approaches to statistical inference and decisionmaking, an analogy with practice in the medical profession may be useful. This profession has an accumulated knowledge of many diseases - the statistical models. A task of the doctor is to discover which one applies to a particular patient.
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2001
Abstract Counts of brain cancer incidence cases and deaths were recorded as part of the Surveillance, Epidemiology, and End Results (SEER) program of the Bio metry Branch of the National Cancer Institute. The SEER program acquired these incidence data from a number of surveyed areas in the United States (for example, the state of ...
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Abstract Counts of brain cancer incidence cases and deaths were recorded as part of the Surveillance, Epidemiology, and End Results (SEER) program of the Bio metry Branch of the National Cancer Institute. The SEER program acquired these incidence data from a number of surveyed areas in the United States (for example, the state of ...
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Journal of Statistical Planning and Inference, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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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