📖 Analysis of Longitudinal Data
Tuesday, October 9, 2018 by dev
Analysis of Longitudinal Data
By:Peter Diggle,Patrick Heagerty,Kung-Yee Liang,Scott Zeger
Published on 2013-03-14 by OUP Oxford
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.
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Book ID of Analysis of Longitudinal Data's Books is zAiK-gWUqDUC, Book which was written byPeter Diggle,Patrick Heagerty,Kung-Yee Liang,Scott Zegerhave ETAG "Qe8WF8gc4cA"
Book which was published by OUP Oxford since 2013-03-14 have ISBNs, ISBN 13 Code is 9780191664335 and ISBN 10 Code is 0191664332
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