Umfang:
xvi, 500 Seiten
,
Diagramme
Ausgabe:
Third edition
ISBN:
9780470582473
Serie:
Wiley series in probability and statistics
Inhalt:
"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"--
Anmerkung:
Literaturverzeichnis: Seite 459-478
,
"This Third Edition continues to focus on applications and interpretation of results from fitting regression models to categorical response variables"--
Weitere Ausg.:
ISBN 9781118548387
Weitere Ausg.:
Erscheint auch als Online-Ausgabe Hosmer, David W., 1944 - Applied logistic regression Hoboken, New Jersey : Wiley, 2013
Weitere Ausg.:
Erscheint auch als Online-Ausgabe Hosmer, David W., 1944 - Applied logistic regression Hoboken, NJ : Wiley, 2013 ISBN 9781118548356
Weitere Ausg.:
ISBN 9780470582473
Sprache:
Englisch
Fachgebiete:
Wirtschaftswissenschaften
,
Biologie
,
Mathematik
,
Soziologie
Schlagwort(e):
Regressionsmodell
;
Anwendung
;
Regressionsanalyse
;
Log-lineares Modell
Mehr zum Autor:
Lemeshow, Stanley 1948-
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