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Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)
By Garrett M. Fitzmaurice, Nan M. Laird, James H. Ware

Written at a technical level suitable for researchers and graduate students,  Applied Longitudinal Analysis provides a rigorous and comprehensive description of modern methods for analyzing logitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models, including their underlying assumptions and relative merits. The book features:

A focus on practical applications, utilizing a wide range of examples drawn from real-world studies
Coverage of modern methods of regressionanalysis for correlated data
Analyses utilizing SAS®
Multiple exercises and "homework" problems for review
An accompanying Web site features twenty-five real data sets used throughout the text, in addition to programming statements and selected computer output for the examples.

[此贴子已经被作者于2009-2-2 11:10:46编辑过]