You-Gan Wang, Liya Fu, Sudhir Paul Analysis of Longitudinal Data with Examples

Annotation

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:Includes the most up-to-date methodsUse simple examples to demonstrate complex methodsUses real data from a number of areasExamples utilize R code