Regression Methods in Biostatistics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Regression Methods in Biostatistics

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Eric Vittinghoff 作者
Springer
譯者
2007-06-08 出版日期
360 頁數
USD 79.95 價格
Hardcover
叢書系列
9780387202754 圖書編碼

Regression Methods in Biostatistics 在線電子書 圖書標籤: 統計學  biostatistics  Data   


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Regression Methods in Biostatistics 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

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Regression Methods in Biostatistics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Regression Methods in Biostatistics 在線電子書 著者簡介


Regression Methods in Biostatistics 在線電子書 著者簡介


Regression Methods in Biostatistics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Regression Methods in Biostatistics 在線電子書 圖書描述

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. </P>

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. </P>

The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided. For many students and researchers learning to use these methods, this one book may be all they need to conduct and interpret multipredictor regression analyses. </P>

The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992). </P>

From the reviews: </P>

"This book provides a unified introduction to the regression methods listed in the title...The methods are well illustrated by data drawn from medical studies...A real strength of this book is the careful discussion of issues common to all of the multipredictor methods covered."<EM> Journal of Biopharmaceutical Statistics, 2005</EM></P>

"This book is not just for biostatisticians. It is, in fact, a very good, and relatively nonmathematical, overview of multipredictor regression models. Although the examples are biologically oriented, they are generally easy to understand and follow...I heartily recommend the book"<EM> Technometrics, February 2006</EM></P>

"Overall, the text provides an overview of regression methods that is particularly strong in its breadth of coverage and emphasis on insight in place of mathematical detail. As intended, this well-unified approach should appeal to students who learn conceptually and verbally." <EM>Journal of the American Statistical Association, March 2006</EM></P>

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