纵向数据分析方法与应用（英文版）

Longitudinal data analysis is essential for many research areas such as social science, medical science, and engineering. This English version of 'Longitudinal Data Analysis: Methods and Applications' provides a comprehensive and practical guidebook for the process of longitudinal data analysis. The book describes various statistical methods in an easy-to-understand language, while emphasizing the practical application of these methods through the use of SAS computer programming to analyze real data. The book covers a range of analysis models, from descriptive estimation methods to latent growth models, with clear explanations of theoretical foundations and practical application of these methods. The book also includes discussions on residual covariance structure and generalized linear mixed-effects models applied to nonlinear data, such as binary and multinomial outcomes. Overall, this book is a valuable guide for researchers, students, and professionals interested in longitudinal data analysis. It provides a clear and practical introduction to a range of statistical methods, with published data examples that help readers to understand how to apply these methods. The book is highly recommended for those who want to learn longitudinal data analysis or those who want to improve their skills in this area.