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Applied logistic regression

Hosmer, David W.

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Applied logistic regression

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied logistic regression/
作者:	Hosmer, David W.
其他作者:	Lemeshow, Stanley.
出版者:	Hoboken, N.J. :Wiley, : 2013.,
面頁冊數:	1 online resource (xvi, 500 p. :)ill.
標題:	Regression analysis. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118548387
ISBN:	9781118548387 (electronic bk.)

Applied logistic regression
Hosmer, David W.

Applied logistic regression[electronic resource]. - 3rd ed. / - Hoboken, N.J. :Wiley,2013. - 1 online resource (xvi, 500 p. :)ill. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references and index.

"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data. A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion. Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines"--

ISBN: 9781118548387 (electronic bk.)Subjects--Topical Terms:

529831
Regression analysis.

LC Class. No.: QA278.2 / .H67 2013eb

Dewey Class. No.: 519.5/36

Applied logistic regression
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100 1 $a Hosmer, David W. $3 646432
245 1 0 $a Applied logistic regression $h [electronic resource].
250 $a 3rd ed. / $b David W. Hosmer, Stanley Lemeshow, Rodney X. Sturdivant.
260 $a Hoboken, N.J. : $b Wiley, $c 2013.
300 $a 1 online resource (xvi, 500 p. :) $b ill.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references and index.
520 $a "A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include: A chapter on the analysis of correlated outcome data. A wealth of additional material for topics ranging from Bayesian methods to assessing model fit Rich data sets from real-world studies that demonstrate each method under discussion. Detailed examples and interpretation of the presented results as well as exercises throughout Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines"-- $c Provided by publisher.
650 0 $a Regression analysis. $3 529831
700 1 $a Lemeshow, Stanley. $3 646431
700 1 $a Sturdivant, Rodney X. $3 1938460
830 0 $a Wiley series in probability and statistics. $3 1275543
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118548387