TY - BOOK ID - 32683374 TI - Applied logistic regression AU - Hosmer, David W AU - Lemeshow, Stanley AU - Sturdivant, Rodney X. PY - 2013 SN - 9780470582473 9781118514948 9781118514924 9781118514931 9781118514900 9781118112724 0470582472 PB - New York: Wiley, DB - UniCat KW - Mathematical statistics KW - Regression Analysis KW - Regression analysis. KW - Mathematics KW - Probability & Statistics KW - Regression Analysis. KW - Analyse de régression KW - Sciences sociales KW - Épidémiologie KW - Méthodes statistiques KW - Reliability (Engineering) KW - Fiabilité KW - Méthodes statistiques. KW - Statistique mathématique KW - Analyse de régression KW - Statistique mathématique KW - Mathematical statistics. KW - Méthodes statistiques. KW - Analyse statistique KW - Statistique mathematique - regression lineaire KW - Regression UR - https://www.unicat.be/uniCat?func=search&query=sysid:32683374 AB - "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"-- "This Third Edition continues to focus on applications and interpretation of results from fitting regression models to categorical response variables"-- ER -