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Longitudinal data analysis for biomedical and behavioralsciencesThis innovative book sets forth and describes methods for theanalysis of longitudinaldata, emphasizing applications to problemsin the biomedical and behavioral sciences. Reflecting the growingimportance and use of longitudinal data across many areas ofresearch, the text is designed to help users of statistics betteranalyze and understand this type of data.Much of the material from the book grew out of a course taught byDr. Hedeker on longitudinal data analysis. The material is,therefore, thoroughly classroom tested and includes a number offeatures designed to help readers better understand and apply thematerial. Statistical procedures featured within the textinclude:* Repeated measures analysis of variance* Multivariate analysis of variance for repeated measures* Random-effects regression models (RRM)* Covariance-pattern models* Generalized-estimating equations (GEE) models* Generalizations of RRM and GEE for categorical outcomesPractical in their approach, the authors emphasize the applicationsof the methods, using real-world examples for illustration. Somesyntax examples are provided, although the authors do not generallyfocus on software in this book. Several datasets and computersyntax examples are posted on this title's companion Web site. Theauthors intend to keep the syntax examples current as new versionsof the software programs emerge.This text is designed for both undergraduate and graduate coursesin longitudinal data analysis. Instructors can take advantage ofoverheads and additional course materials available online foradopters. Applied statisticians in biomedicine and the socialsciences can also use the book as a convenient reference.
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