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Can I read Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) on EtoBox?

Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) by Grace Y. Yi (auth.) is a nonfiction available to read on EtoBox.

What is Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) about?

"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 longitud

Who reads Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Grace Y. Yi (auth.)
Publisher
Springer, published by Springer Nature
Published
2017
Language
EN
ISBN
9781493982578
Category
nonfiction
Subjects
Mathematics, Science, Stem

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