Nonparametric Regression Methods for Longitudinal Data Analys... - 9780471483502

Nonparametric Regression Methods for Longitudinal Data AnalysisMixed-Effects Modeling Approaches\nAuthor(s): Hulin Wu, Jin-Ting Zhang\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: Wiley-Interscience\nISBN-13: 9780471483502, 978-0471483502\nSynopsis\nIncorporates mixed-effects modeling techniques for more powerful and efficient methods\n This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented.\n With its logical structure and organization, beginning with basic principles, the text develops the foundation needed to master advanced principles and applications. Following a brief overview, data examples from biomedi.