Methods and Applications of Longitudinal Data Analysis - Xian Liu

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Résumé :
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences, introducing basic concepts and functions, a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include descriptive methods for delineating trends over time, linear mixed regression models with both fixed and random effects, covariance pattern models on correlated errors, generalized estimating equations, nonlinear regression models for categorical repeated measurements, and techniques for analyzing longitudinal data with non-ignorable missing observations. Given the targeted audience of the book, the authors emphasize applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. The text is suitable for both graduate students and professions who are interested in longitudinal data analysis. Applied statisticians and other quantitative methodologists can also use the book as a convenient reference. * From novice to professional: This book starts with the introduction of basic models and ends with the description of some most advanced topics in longitudinal data analysis* With plenty of empirical examples, students can read and study smoothly.* The book introduces both classical repeated measures models and newly developed techniques with real-world examples.