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Titlebook: Statistical Analysis with Measurement Error or Misclassification; Strategy, Method and Grace Y. Yi Book 2017 Springer Science+Business Medi

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Inference Framework and Method,k and the objectives. Important issues concerning modeling and inferences are discussed in §1.2. Representative and useful estimation methodology is reviewed in §1.3. Strategies of handling model misspecification are described in §1.4, and the extension to the regression setting is included in §1.5. Brief bibliographic notes are presented in §1.6.
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Longitudinal Data with Covariate Measurement Error,d inference approaches are available for longitudinal data analysis. The validity of these methods relies on an important requirement that variables are precisely measured. This assumption is, however, often violated in practice.
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Analysis with Mismeasured Responses,be mismeasured. Measurement error in covariates has received extensive research interest. A large body of analysis methods, as discussed in the aforementioned chapters, has been developed in the literature. Issues on mismeasured responses, on the other hand, have been relatively less explored.
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Miscellaneous Topics,nvironmental studies. Methods and application of measurement error models are vast in the epidemiology literature. Although the book discusses some research in this field, the coverage is far from complete.
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