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

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Recurrent Event Data with Measurement Error,ny settings, recurrent event data have their own special features. Compared to the extensive attention given to survival data with covariate measurement error, there are relatively limited discussions on analysis of error-prone recurrent event data. In this chapter, we discuss several models and met

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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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,Case–Control Studies with Measurement Error or Misclassification,s disease statuses. Case–control studies are quick and cheap to conduct. They enable us to study rare health outcomes without having to follow up a large number of subjects over a long period of time. Analysis of case–control studies dates back to Broders?(.) and Lane-Claypon?(.). Various statistica

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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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Book 2017oblems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correla

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,Case–Control Studies with Measurement Error or Misclassification,urement error and misclassification that commonly accompany case–control studies. This chapter deals with this topic and discusses inference methods for handling error-prone data arising from case–control studies.

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0172-7397 s for a variety of settings.Presents both statistical theoryThis monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error a