Statistical Methods for the Analysis of Repeated Measurements

Rating:
Summary: Extremely clear and extremely useful
Review: Chuck Davis, who has a wealth of experience in modeling repeated measurements, especially in biomedical research, has written an exceptionally clear and useful book on modeling longitudinal data. The book provides the necessary background theory, presented in a very accessible way, and then provides a wealth of practical information and guidance on selection, fitting, and checking models. The book contains an amazing number of datasets useful for those learning the methods discussed, all of the datasets being available from the book's web site. Statistical Methods for the Analysis of Repeated Measurements also describes some methods that are no longer recommended (such as repeated measures analysis of variance) so that readers will know why several newer methods are preferred. The book is of special value to SAS software users but users of other statistical software packages (such as myself) will profit just as much from reading it. I highly recommend this book.

Rating:
Summary: Best text book I've ever read
Review: This book was a thrilling page-turner that I could hardly put down. I've read a lot of books in my days, but this was way better than anything by Fitzgerald, Faulkner, and Joyce.