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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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发表于 2025-3-21 16:41:51 | 显示全部楼层 |阅读模式
书目名称Statistical Analysis with Measurement Error or Misclassification
副标题Strategy, Method and
编辑Grace Y. Yi
视频video
概述Brings together assorted methods concerning measurement error or misclassification in a single text, including updates of recent developments for a variety of settings.Presents both statistical theory
丛书名称Springer Series in Statistics
图书封面Titlebook: Statistical Analysis with Measurement Error or Misclassification; Strategy, Method and Grace Y. Yi Book 2017 Springer Science+Business Medi
描述This 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 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), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification:  Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems..Readers with diverse backgrounds and objectives can utilize this text. Familiarity with inference methods—such as likelihood and estimating function theory—or modeling schemes in varying settings—such as survival analysis and longitudina
出版日期Book 2017
关键词measurement error; misclassification; mismeasurement; survival analysis; longitudinal data; generalized l
版次1
doihttps://doi.org/10.1007/978-1-4939-6640-0
isbn_softcover978-1-4939-8257-8
isbn_ebook978-1-4939-6640-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer Science+Business Media, LLC 2017
The information of publication is updating

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发表于 2025-3-21 21:58:58 | 显示全部楼层
发表于 2025-3-22 03:33:07 | 显示全部楼层
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
发表于 2025-3-22 05:13:48 | 显示全部楼层
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.
发表于 2025-3-22 10:11:35 | 显示全部楼层
,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
发表于 2025-3-22 13:13:48 | 显示全部楼层
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.
发表于 2025-3-22 20:24:32 | 显示全部楼层
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.
发表于 2025-3-22 22:31:00 | 显示全部楼层
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
发表于 2025-3-23 04:42:21 | 显示全部楼层
,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.
发表于 2025-3-23 09:31:50 | 显示全部楼层
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
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