Analysis of Longitudinal Data
| Author | : | |
| Rating | : | 4.63 (772 Votes) |
| Asin | : | 0198524846 |
| Format Type | : | paperback |
| Number of Pages | : | 396 Pages |
| Publish Date | : | 2014-08-01 |
| Language | : | English |
DESCRIPTION:
. Kung-Yee Liang and Scott Zeger are both in the Biostatistics Department, Johns Hopkins University. Peter Diggle is in the Department of Mathematics and Statistics, University of Lancaster. Patrick Heagerty is in the Biostatistics Department, University of Washington
"it is well written, with wide coverage of biological and medical applications. It should continue to have a prominent place in libraries, and researchers who are interested in longitudinal data analysis will want a personal copy." --Journal of the American Statistical Association
I recommend readers looking for an applied analysis guide to look Book is more geared readers to theoretical approach. I recommend readers looking for an applied analysis guide to look elsewhere.. Baosheng Liang said I am so disappointed.. I thought it is hard page cover, it turns out that it is soft cover, and the print page is not as high quality as the hard cover book. I am so disappointed.
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.. 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