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Linear Mixed Models for Longitudinal Data [推广有奖]

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beatrice.xue(真实交易用户) 发表于 2009-7-5 17:07:54
DJVU 这是什么格式啊??打不开啊!!不会是被骗了吧

22
abaobao(真实交易用户) 发表于 2009-7-22 15:14:18
hao shu!! zhi de yi du.

23
laonuo(真实交易用户) 发表于 2010-2-25 00:11:23
此书经典。评价很高。

24
xdzhou8866(真实交易用户) 发表于 2010-6-21 21:34:29
谢谢!正想读这本书!

25
zzzppp(真实交易用户) 发表于 2010-6-22 21:34:18
thanks for sharing!

26
yuchieh_y(真实交易用户) 发表于 2010-7-2 15:22:54
Thanks a lot

27
isabellah(真实交易用户) 发表于 2010-11-19 21:26:27
请问这个格式要怎么打开?

28
trier2006(真实交易用户) 发表于 2010-12-1 10:33:52
ccpoo 发表于 2007-5-9 19:20
Springer ebookLinear Mixed Models for Longitudinal DataSeries: Springer Series in Statistics
                Verbeke, Geert, Molenberghs, Geert Originally published as volume 126 in the series: Lecture Notes in Statistics1st ed. 1997. Corr. 2nd printing, 2001, XXII, 568 p., 128 illus., HardcoverISBN: 978-0-387-95027-3About this book This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Several variations to the conventional linear mixed model are discussed (a heterogeity model, condional linear mid models). This book will be of interest to applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically rigorous. Most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated. How3ever, some other commercially available packages are discussed as well. Great care has been taken in presenting the data analyses in a software-independent fashion. Geert Verbeke is Assistant Professor at the Biostistical Centre of the Katholieke Universiteit Leuven in Belgium. He received the B.S. degree in mathematics (1989) from the Katholieke Universiteit Leuven, the M.S. in biostatistics (1992) from the Limburgs Universitair Centrum, and earned a Ph.D. in biostatistics (1995) from the Katholieke Universiteit Leuven. Dr. Verbeke wrote his dissertation, as well as a number of methodological articles, on various aspects of linear mixed models for longitudinal data analysis. He has held visiting positions at the Gerontology Research Center and the Johns Hopkins University. Geert Molenberghs is Assistant Professor of Biostatistics at the Limburgs Universitair Centrum in Belgium. He received the B.S. degree in mathematics (1988) and a Ph.D. in biostatistics (1993) from the Universiteit Antwerpen. Dr. Molenberghs published methodological work on the analysis of non-response in clinical and epidemiological studies. He serves as an associate editor for Biometrics, Applied Statistics, and Biostatistics, and is an officer of the Belgian Statistical Society. He has held visiting positions at the Harvard School of Public Health. Written for: Researchers Grad studentsKeywords: Linear Mixed ModelsLongitudinal Data

[此贴子已经被作者于2008-12-11 22:07:24编辑过]

有pdf的么
最好的医生是自己,最好的药物是时间……

29
trier2006(真实交易用户) 发表于 2010-12-1 10:34:40
isabellah 发表于 2010-11-19 21:26
请问这个格式要怎么打开?
同问,或者pdf的也可以
最好的医生是自己,最好的药物是时间……

30
carl0426(真实交易用户) 发表于 2010-12-1 20:15:59
谢谢各位分享追踪数据的分析书籍,我也搞这个方面,有时间交流,qq:532393861

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