Methods and Applications of Longitudinal Data Analysis - by Xian Liu (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><i>Methods and Applications of Longitudinal Data Analysis</i> describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: </p> <ul> <li>descriptive methods for delineating trends over time</li> <li>linear mixed regression models with both fixed and random effects</li> <li>covariance pattern models on correlated errors</li> <li>generalized estimating equations</li> <li>nonlinear regression models for categorical repeated measurements</li> <li>techniques for analyzing longitudinal data with non-ignorable missing observations</li></ul> <p>Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data.</p> <p><i>Methods and Applications of Longitudinal Data Analysis</i> equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists.</p>
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