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

956.00 1,100.00

Published January 28, 2022 by Chapman and Hall/CRC
252 Pages 20 B/W Illustrations
Paperback, Black & White
SKU: PD 0265 F Category: Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

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

Table of Contents

List of Figures

List of Tables

Preface

Author Biographies

Contributors

Chapter 1 Introduction

Chapter 2 Examples and Organization of The Book

Chapter 3 Model Framework and Its Components

Chapter 4 Parameter Estimation

Chapter 5 Model Selection

Chapter 6 Robust Approaches

Chapter 7 Clustered Data Analysis

Chapter 8 Missing Data Analysis

Chapter 9 Random Effects and Transitional Models

Chapter 10 Handing High Dimensional Longitudinal Data

Bibliography

Index

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