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Academic & Professional Books  Reference  Data Analysis & Modelling  Modelling

Models for Repeated Measurements

By: JK Lindsey
515 pages, Figs, tabs
Models for Repeated Measurements
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  • Models for Repeated Measurements ISBN: 9780198505594 Edition: 2 Hardback Jul 1999 Usually dispatched within 2-3 weeks
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About this book

This second edition of Models for Repeated Measurements has been comprehensively revised and updated, taking into account the huge amount of research that has been carried out in the subject in recent years. A wide variety of useful new models is now available, models that have revolutionized the analysis of such data. The second edition contains 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 most chapters, and the programming functions needed to carry out the analyses in the book are publicly available. Models for Repeated Measurements is an essential reference for research statisticians in agriculture, medicine, economics, and psychology, and for the many consulting statisticians who want an up-to-date expository account of this important topic. The book is organized into four parts. In the first part, the general context of repeated measurements is presented. The three basic types of response variables, continuous (normal), categorical and count, and duration, are introduced. There is a discussion of the ways in which such repeated observations are interdependent. The book also develops a framework for constructing suitable models, with the introduction of the necessary concepts of multivariate distributions and stochastic processes. In the following three parts, a large number of specific examples, including data tables, is presented to illustrate the models available. Each of these parts corresponds to one of the types of responses mentioned above. FROM REVIEWS OF THE FIRST EDITION ...a timely book ...useful both as a graduate text and as a consulting source. Statistical Methods in Medical Research

Contents

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

Customer Reviews

By: JK Lindsey
515 pages, Figs, tabs
Media reviews

"Lindsey's coverage of repeated measures problems arising from continuous, count, categorical, and duration data is plenty broad. . . . The result is a book that is undeniably rich in applications and examples -- drawn mostly from the biological sciences . . .Lindsey's fast-paced, virtuoso model-fitting performance . . ." -- Sociological Methods & Research
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