Analysis of Longitudinal Data
Authors: Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger Manufacturer: Oxford University Press, USA Keywords: Biology ISBN: 0198524846
Book 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
Book review: already the classic book on longitudinal data analysis When this book came out in 1994 there was a great need to look differently at clinical data on subjects. Typically such data would have repeated measurements over time for many subjects but for only a
The second edition is much like the first and is at least a year behind the original schedule. See my review of the first edition to understand why this is a classical. The promised advances in
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