Results 211 to 220 of about 111,400 (254)
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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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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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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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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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On the James-Stein estimator for the poisson regression model
Communications in Statistics Part B: Simulation and Computation, 2022Muhammad Nauman Akram +2 more
exaly