[PDF.45uq] Models for Discrete Longitudinal Data (Springer Series in Statistics)

Models for Discrete Longitudinal Data (Springer Series in Statistics)

[PDF.oi35] Models for Discrete Longitudinal Data (Springer Series in Statistics)

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 | #2036838 in Books |  2005-09-30 | Original language:English | PDF # 1 |  9.21 x1.50 x6.14l,2.28 | File type: PDF | 687 pages

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||37 of 38 people found the following review helpful.| another excellent book on longitudinal data and mixed models|By Michael R. Chernick|These authors have teamed up to publish two excellent books on the application of linear mixed models for longitudinal data analysis that is particularly useful in biostatistics and clinical trials. The applications often involve missing data and these techniques are particularly well-suited| ||From the reviews: |"Strengths of this book include its breadth of topics, excellent organization and clarity of writing...I highly recommend this book to my colleagues and students." -Justine Shults for the Journal of Biopharmaceutical Statistics, Issue 3

The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.

Without putting too much emphasis on software, the book shows how the different approaches can be implemented within the SAS software package.

The authors received the American Statistical Association's Excellence in Continuing Education Award based on short courses on longitudinal and incomplete data...

You can specify the type of files you want, for your gadget.Models for Discrete Longitudinal Data (Springer Series in Statistics)   |  Geert Molenberghs, Geert Verbeke.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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