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Titlebook: Linear Mixed Models in Practice; A SAS-Oriented Appro Geert Verbeke,Geert Molenberghs Book 1997 Springer-Verlag New York, Inc. 1997 SAS.dat

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發(fā)表于 2025-3-21 17:13:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linear Mixed Models in Practice
副標(biāo)題A SAS-Oriented Appro
編輯Geert Verbeke,Geert Molenberghs
視頻videohttp://file.papertrans.cn/587/586337/586337.mp4
叢書名稱Lecture Notes in Statistics
圖書封面Titlebook: Linear Mixed Models in Practice; A SAS-Oriented Appro Geert Verbeke,Geert Molenberghs Book 1997 Springer-Verlag New York, Inc. 1997 SAS.dat
描述The dissemination of the MIXED procedure in SAS has provided a whole class of statistical models for routine use. We believe that both the ideas be- hind the techniques and their implementation in SAS are not at all straight- forward and users from various applied backgrounds, including the phar- maceutical industry, have experienced difficulties in using the procedure effectively. Courses and consultancy on PROC MIXED have been in great demand in recent years, illustrating the clear need for resource material to aid the user. This book is intended as a contribution to bridging this gap. We hope the book will be of value to a wide audience, including applied statisticians and many biomedical researchers, particularly in the pharma- ceutical industry, medical and public health research organizations, con- tract research organizations, and academic departments. This implies that our book is explanatory rather than research oriented and that it empha- sizes practice rather than mathematical rigor. In this respect, clear guidance and advice on practical issues are the main focus of the text. Nevertheless, this does not imply that more advanced topics have been avoided. Sections contain
出版日期Book 1997
關(guān)鍵詞SAS; data analysis; fitting; likelihood; statistics
版次1
doihttps://doi.org/10.1007/978-1-4612-2294-1
isbn_softcover978-0-387-98222-9
isbn_ebook978-1-4612-2294-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1997
The information of publication is updating

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Geert Molenberghs,Geert Verbekege ratio (c/c) for FR was 69.6% (iMR) and 71.4% (cOR) and for RR 70.9% (iMR) and 71.1% (cOR). For DRG 003, iMR LOS (4.5 d) was shorter than for cOR (14.1 d, P < 0.001) for FR and for RR (8.0 vs. 13.3 d). IMR hospital charges were 43.8% lower than for cOR for FR (P < 0.05) and RR. The iMR costs were
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Book 1997s explanatory rather than research oriented and that it empha- sizes practice rather than mathematical rigor. In this respect, clear guidance and advice on practical issues are the main focus of the text. Nevertheless, this does not imply that more advanced topics have been avoided. Sections contain
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Case Studies,zed using linear mixed models, and we will illustrate how such models often yield additional insight into the data. All calculations will be performed with SAS procedures and therefore, none of the model checks or diagnostic tools discussed in Section 3.13 will be used.
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