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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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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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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
openaire +3 more sources
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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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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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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