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Analysis of Longitudinal Data with Example

by Liya Fu , Sudhir Paul , You-Gan Wang

๐Ÿ“– The Scoop

Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas.

Key Features:

โ€ขIncludes the most up-to-date methods

โ€ขUse simple examples to demonstrate complex methods

โ€ขUses real data from a number of areas

โ€ขExamples utilize R code

Genre: Mathematics / Probability & Statistics / General (fancy, right?)

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