Analysis of Longitudinal Data

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The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.

Author(s): Peter Diggle, Patrick Heagerty, Kung-Yee Liang, Scott Zeger
Edition: 2
Publisher: Oxford University Press
Year: 2002

Language: English
Pages: 396
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;