02683nam a2200361 a 4500001001200000003000800012006001900020007001500039008004100054010001700095020002900112020002700141040002100168035002100189050002500210082001700235100002100252245005600273250007200329260003500401300002400436490004700460504005100507520131700558533015201875650002502027655002902052700002302081700002602104710001702130830004802147856012602195ebr10677827CaPaEBRm        u        cr cn|||||||||130311s2013    njua    sb    001 0 eng d  z  2013000403  z9780470582473 (hardback)  z9781118548394 (e-book)  aCaPaEBRcCaPaEBR  a(OCoLC)84761931814aQA278.2b.H67 2013eb04a519.5/362231 aHosmer, David W.10aApplied logistic regressionh[electronic resource].  a3rd ed. /bDavid W. Hosmer, Stanley Lemeshow, Rodney X. Sturdivant.  aHoboken, N.J. :bWiley,c2013.  axvi, 500 p. :bill.1 aWiley series in probability and statistics  aIncludes bibliographical references and index.  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"--cProvided by publisher.  aElectronic reproduction.bPalo Alto, Calif. :cebrary,d2013.nAvailable via World Wide Web.nAccess may be limited to ebrary affiliated libraries. 0aRegression analysis. 7aElectronic books.2local1 aLemeshow, Stanley.1 aSturdivant, Rodney X.2 aebrary, Inc. 0aWiley series in probability and statistics.40uhttp://site.ebrary.com/lib/rucke/Doc?id=10677827zAn electronic book accessible through the World Wide Web; click to view