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Zusatztext " ... good consulting nad reference source and one that I expect to use! especially given the software libraries that the author has made avavilable to accompany the text. Owners of the first edition will certainly want to consider obtaining this edition! and most statistics libraries should buy a copy The Statistician Klappentext Models for Repeated Measurements will interest research statisticians in agriculture, medicine, economics, and psychology, as well as the many consulting statisticians who want an up-to-date expository account of this important topic. This edition of this successful book has been completelyupdated to take into account the many developments in the area over the last few years. It features three new chapters on models for continuous non-normal data, on various design issues specific to repeated measurements, and on missing data and dropouts. Exercises have been added at the ends of mostchapters, and the software for carrying out the analyses is now available to the public. The book begins with a development of the general context of repeated measurements. It then describes the three basic types of response variables--continuous (normal), categorical, and count data--and develops apractical framework for creating suitable models and for applying ideas on multivariate distributions and stochastic processes. The book then devotes three sections to examining a large number of concrete examples, including data tables, to illustrate the models available. The book also includes anextensive list of references. Zusammenfassung This text presents the general context of repeated measurements, a large number of concrete examples, including data tables to illustrate the models available, and provides an updated bibliography of the repeated measurements literature. Inhaltsverzeichnis I. INTRODUCTION 1. Basic concepts 2. Fundamentals of modelling 3. Multivariate distributions II. CONTINUOUS MEASUREMENTS 4. Heterogeneous populations 5. Longitudinal studies 6. Non-normal responses III. CATEGORICAL AND COUNT DATA 7. Overdispersion 8. Longitudinal discrete data IV. DURATION DATA 9. Frailty 10. Event histories V. PLANNING A STUDY 11. Design issues 12. Modelling missing data and dropouts APPENDICES A. Data tables for the examples B. Data tables for the exercisesIndex Bibliography Index Bibliography Index ...
