Analysis of Longitudinal Data with Examples

by Sudhir Paul, Liya Fu, You-Gan Wang

Book Overview

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 methods

-Use simple examples to demonstrate complex methods

-Uses real data from a number of areas

-Examples utilize R code

• Format: Paperback
• Language: English
• ISBN: 1032196521
• ISBN13: 9781032196527
• Release Date: May 2024
• Publisher: CRC Press
• Length: 226 Pages
• Weight: 0.79 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"