Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and ... She is the 2010 winner of the
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From the Back Cover 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 methodssuch as likelihood and estimating function theoryor modeling schemes in varying settingssuch as survival analysis and longitudinal data analysiscan result in a full appreciation of the material, but it is not essential since each chapter provides basic inference frameworks and background information on an individual topic to ease the access of the material. The text is presented in a coherent and self-contained manner and highlights the essence of commonly used modeling and inference methods.This text can serve as a reference book for researchers interested in statistical methodology for handling data with measurement error or misclassification; as a textbook for graduate students, especially for those majoring in statistics and biostatistics; or as a book for applied statisticians whose interest focuses on analysis of error-contaminated data.Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute. Read more About the Author Grace Y. Yi is Professor of Statistics and University
Research Chair at the University of Waterloo. Her broad research interests include measurement error models, missing data problems, high dimensional data analysis, survival data and longitudinal data analysis, estimating function and likelihood methods, and medical applications.Prof. Yi received her Ph.D. in Statistics from the University of Toronto in 2000. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She was a recipient of the prestigious University Faculty Award granted by the Natural Sciences and Engineering Research Council of Canada (NSERC). She serves as an associate editor for several statistical journals, and is the editor of the Canadian Journal of Statistics (2016-2018). She is a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. She is President of the Biostatistics Section of the Statistical Society of Canada in 2016, and the Founder and Chair of the first chapter (Canada Chapter) of the International Chinese Statistical Association. Read more Click Here to Read Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) Online! Hello there My name is Eloise Whitney and I am here to explain my views on this amazing book written Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) labeled as Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics). With a large number of bogus Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) reviews listed on the web many visitors find it difficult looking for trusted material while checking Google for 'where to download Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) PDF free', or even 'where to download Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) torrent'. I realize that this must be a frustrating process when making a decision if a person may want to buy Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) ebook for ipad, or any widely used device in which the reader likes to read their digital books. But nevertheless, by following this review internet users can be assured that Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application (Springer Series in Statistics) is a great book as described.
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