Title
Analysis Of Longitudinal Data,New
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The New Edition Of This Important Text Has Been Completely Revised And Expanded To Become The Most Uptodate And Thorough Professional Reference Text In This Fastmoving And Important Area Of Biostatistics. Two New Chapters Have Been Added On Fully Parametric Models For Discrete Repeated Measures Data And On Statistical Models For Timedependent Predictors Where There May Be Feedback Between The Predictor And Response Variables. It Also Contains The Many Useful Features Of The Previous Edition Such As, Design Issues, Exploratory Methods Of Analysis, Linear Models For Continuous Data, And Models And Methods For Handling Data And Missing Values.
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Frequently Asked Questions
- Q: What is the main focus of 'Analysis of Longitudinal Data'? A: The book primarily focuses on biostatistics, covering updated methodologies for analyzing longitudinal data, including fully parametric models and statistical models for time-dependent predictors.
- Q: Who is the author of this book? A: The author of 'Analysis of Longitudinal Data' is Peter Diggle.
- Q: What are the new features in the latest edition? A: The new edition includes two additional chapters on fully parametric models for discrete repeated measures data and models for time-dependent predictors, along with improved coverage of design issues and missing data handling.
- Q: What is the publication date of this book? A: The book was published on August 15, 2002.
- Q: How many pages does the book have? A: The book contains 398 pages.
- Q: What binding type is used for this edition? A: This edition is bound in hardcover.
- Q: Is this book suitable for beginners in biostatistics? A: While the book provides comprehensive insights, it is best suited for those with a basic understanding of biostatistics as it delves into complex methodologies.
- Q: Can this book help with understanding missing data analysis? A: Yes, it includes sections dedicated to methods for handling data and missing values, making it a valuable resource for this topic.
- Q: What are the key topics covered in this book? A: Key topics include design issues, exploratory analysis methods, linear models for continuous data, and statistical approaches for longitudinal data.
- Q: Is this book available in other formats? A: Currently, this edition is available only in hardcover format.