Linear mixed models for longitudinal data - Info and Reading Options
By Geert Verbeke and Geert Molenberghs
"Linear mixed models for longitudinal data" was published by Springer in 2000 - New York, it has 568 pages and the language of the book is English.
“Linear mixed models for longitudinal data” Metadata:
- Title: ➤ Linear mixed models for longitudinal data
- Authors: Geert VerbekeGeert Molenberghs
- Language: English
- Number of Pages: 568
- Publisher: Springer
- Publish Date: 2000
- Publish Location: New York
“Linear mixed models for longitudinal data” Subjects and Themes:
- Subjects: ➤ Linear Models - Linear models (Statistics) - Longitudinal method - Longitudinal studies - Methods - Statistics - Sas (computer program) - SAS (Computer file) - Data processing - Biometry - Modèles linéaires (Statistique) - Mathematical statistics - Statistical Theory and Methods
Edition Specifications:
- Pagination: xxii, 568 p. :
Edition Identifiers:
- The Open Library ID: OL18140670M - OL2662941W
- Online Computer Library Center (OCLC) ID: 43615499 - 36908881
- Library of Congress Control Number (LCCN): 00026596 - 97015705
- ISBN-10: 0387982221 - 0387950273
- All ISBNs: 0387982221 - 0387950273
AI-generated Review of “Linear mixed models for longitudinal data”:
"Linear mixed models for longitudinal data" Description:
The Open Library:
"This book provides a comprehensive treatment of linear mixed models, a technique devised to analyze continuous correlated data. It focuses on examples from designed experiments and longitudinal studies. The target audience includes applied statisticians and biomedical researchers in industry, public health organizations, contract research organizations, and academia. The book is explanatory rather than mathematically 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 spent in presenting the data analyses in a software-independent fashion."--BOOK JACKET.
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