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This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.
Inhaltsverzeichnis
Preface, 1: Introduction, Part One: Normal Error Distributions, Part Two: Non-normal Error Distributions, Part Three: Comparisons of Methods, Appendix A The data sets used in the examples, Appendix B Extra data sets, References, Author index, Subject index
Über den Autor / die Autorin
David J. Hand
Zusammenfassung
This text is aimed at both statisticians and researchers in other disciplines such as medicine and psychology who make extensive use of longitudinal data analysis. It is aimed at practical application of the techniques, and an extensive data appendix provides many real data sets.
