Analysis of Longitudinal Data (2) (Oxford Statistical Science Ser. #25)

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Synopsis
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.
Copyright:
1999

Book Details

Book Quality:
Publisher Quality
Book Size:
272 Pages
ISBN-13:
9780191664335
Related ISBNs:
9780199676750, 9780198524847, 9780191664328
Publisher:
Oxford University Press
Date of Addition:
Copyrighted By:
Peter J. Diggle, Patrick J. Heagerty, Kung-Yee Liang, Scott L. Zeger
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science, Social Studies, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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