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Models for Repeated Measurements : Oxford Statistical Science Series - J. K. Lindsey

Models for Repeated Measurements

Oxford Statistical Science Series

Hardcover Published: 1st October 1999
ISBN: 9780198505594
Number Of Pages: 536

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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

" ... 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

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

ISBN: 9780198505594
ISBN-10: 0198505590
Series: Oxford Statistical Science Series
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 536
Published: 1st October 1999
Publisher: Oxford University Press
Country of Publication: GB
Dimensions (cm): 24.1 x 16.0  x 3.3
Weight (kg): 0.85
Edition Number: 2
Edition Type: Revised