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- W2004755182 abstract "Variable selection for Poisson regression when the response variable is potentially underreported is considered. A logistic regression model is used to model the latent underreporting probabilities. An efficient MCMC sampling scheme is designed, incorporating uncertainty about which explanatory variables affect the dependent variable and which affect the underreporting probabilities. Validation data is required in order to identify and estimate all parameters. A simulation study illustrates favorable results both in terms of variable selection and parameter estimation. Finally, the procedure is applied to a real data example concerning deaths from cervical cancer." @default.
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- W2004755182 date "2010-12-01" @default.
- W2004755182 modified "2023-09-30" @default.
- W2004755182 title "Bayesian variable selection for Poisson regression with underreported responses" @default.
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- W2004755182 doi "https://doi.org/10.1016/j.csda.2010.04.003" @default.
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