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Analysis Longitud Data 2e Osss: Ncs P (Oxford Statistical Science #25) (Paperback)

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Description


The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.

About the Author


Peter Diggle, Department of Mathematics and Statistics, University of Lancaster Patrick Heagerty, Biostatistics department University of Washington Kung-Yee Liang, Biostatistics department, Johns Hopkins University Scott Zeger, Biostatistics department, Johns Hopkins University

Product Details
ISBN: 9780199676750
ISBN-10: 0199676755
Publisher: Oxford University Press, USA
Publication Date: May 8th, 2013
Pages: 400
Language: English
Series: Oxford Statistical Science