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Linear Mixed Models in Practice A SAS-Oriented Approach by Verbeke-Molenb
US $19.99
ApproximatelyS$ 25.62
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A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Item specifics
- Condition
- ISBN
- 9780387982229
About this product
Product Identifiers
Publisher
Springer New York
ISBN-10
0387982221
ISBN-13
9780387982229
eBay Product ID (ePID)
983719
Product Key Features
Number of Pages
Xv, 306 Pages
Publication Name
Linear Mixed Models in Practice : an Sas-Oriented Approach
Language
English
Publication Year
1997
Subject
Biostatistics, Mathematical & Statistical Software, Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics, Computers, Medical
Series
Lecture Notes in Statistics Ser.
Format
Trade Paperback
Dimensions
Item Weight
17.6 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
00-026596
Dewey Edition
21
Series Volume Number
126
Number of Volumes
1 vol.
Volume Number
126
Illustrated
Yes
Dewey Decimal
519.5/3
Table Of Content
1 Introduction.- 2 An Example-Based Tour in Linear Mixed Models.- 2.1 Fixed Effects and Random Effects in Mixed Models.- 2.2 General Linear Mixed Models.- 2.3 Variance Components Estimation and Best Linear Unbiased Prediction.- 2.4 Fixed Effects: Estimation and Hypotheses Testing.- 2.5 Case Studies.- 3 Linear Mixed Models for Longitudinal Data.- 3.1 Introduction.- 3.2 The Study of Natural History of Prostate Disease.- 3.3 A Two-Stage Analysis.- 3.4 The General Linear Mixed-Effects Model.- 3.5 Example.- 3.6 The RANDOM and REPEATED Statements.- 3.7 Testing and Estimating Contrasts of Fixed Effects.- 3.8 PROC MIXED versus PROC GLM.- 3.9 Tests for the Need of Random Effects.- 3.10 Comparing Non-Nested Covariance Structures.- 3.11 Estimating the Random Effects.- 3.12 General Guidelines for Model Construction.- 3.13 Model Checks and Diagnostic Tools ?.- 4 Case Studies.- 4.1 Example 1: Variceal Pressures.- 4.2 Example 2: Growth Curves.- 4.3 Example 3: Blood Pressures.- 4.4 Example 4: Growth Data.- 5 Linear Mixed Models and Missing Data.- 5.1 Introduction.- 5.2 Missing Data.- 5.3 Approaches to Incomplete Data.- 5.4 Complete Case Analysis.- 5.5 Simple Forms of Imputation.- 5.6 Available Case Methods.- 5.7 Likelihood-Based Ignorable Analysis and PROC MIXED.- 5.8 How Ignorable Is Missing At Random ? ?.- 5.9 The Expectation-Maximization Algorithm ?.- 5.10 Multiple Imputation ?.- 5.11 Exploring the Missing Data Process.- A Inference for Fixed Effects.- A.1 Estimation.- A.2 Hypothesis Testing.- A.3 Determination of Degrees of Freedom.- A.4 Satterthwaite's Procedure.- B Variance Components and Standard Errors.- C Details on Table 2.10: Expected Mean Squares.- D Example 2.8: Cell Proliferation.- References.
Synopsis
A comprehensive treatment of linear mixed models, focusing on examples from designed experiments and longitudinal studies. Aimed at applied statisticians and biomedical researchers in industry, public health organisations, contract research organisations, and academia, this book is explanatory rather than mathematical rigorous. Although most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated, considerable effort was put into presenting the data analyses in a software-independent fashion., The SAS routines on mixed models have applications in many areas of statistics, especially biostatistics, but the procedures are not well- documented. Based on short courses given by the authors, this book provides practical guidance for SAS users., 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 containing material of a deeper level have been sign posted by means of an asterisk., 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 containing material of a deeper level have been sign posted by means of an asterisk.
LC Classification Number
QH323.5
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- 9***d (811)- Feedback left by buyer.Past monthVerified purchaseExcellent book, super fast delivery; recommended seller!
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- 1***l (78)- Feedback left by buyer.Past monthVerified purchaseWell packaged and shipped quickly. A 1979 edition of Montague Free's All about African Violets, The Complete Guide to Success with Saintpaulias, revised and expanded by Charles Marden Fitch. Updating information in previous printings in 1949, 1950 and 1951 by Montague Free and after his death in 1965, continues with the expanding information available about caring and growing of African Violets. Color photographs and halftone illustrations scattered through the 255 pages with an index.
Seller feedback (2,685)
- 9***d (811)- Feedback left by buyer.Past monthVerified purchaseExcellent book, super fast delivery; recommended seller!
- n***a (4264)- Feedback left by buyer.Past monthVerified purchaseNice card quick shipment, good packing.
- 1***l (78)- Feedback left by buyer.Past monthVerified purchaseWell packaged and shipped quickly. A 1979 edition of Montague Free's All about African Violets, The Complete Guide to Success with Saintpaulias, revised and expanded by Charles Marden Fitch. Updating information in previous printings in 1949, 1950 and 1951 by Montague Free and after his death in 1965, continues with the expanding information available about caring and growing of African Violets. Color photographs and halftone illustrations scattered through the 255 pages with an index.