Applied Logistic Regression

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From the reviews of the First Edition. "An interesting, useful, and well-written book on logisticregression models. Hosmer and Lemeshow have used very littlemathematics, have presented difficult concepts heuristically andthrough illustrative examples, and have included references." --Choice "Well written, clearly organized, and comprehensive. theauthors carefully walk the reader through the estimation ofinterpretation of coefficients from a wide variety of logisticregression models. their careful explication of thequantitative re-expression of coefficients from these variousmodels is excellent." --Contemporary Sociology "An extremely well-written book that will certainly prove aninvaluable acquisition to the practicing statistician who findsother literature on analysis of discrete data hard to follow orheavily theoretical." --The Statistician In this revised and updated edition of their popular book, DavidHosmer and Stanley Lemeshow continue to provide an amazinglyaccessible introduction to the logistic regression model whileincorporating advances of the last decade, including a variety ofsoftware packages for the analysis of data sets. Hosmer andLemeshow extend the discussion from biostatistics and epidemiologyto cutting-edge applications in data mining and machine learning,guiding readers step-by-step through the use of modeling techniquesfor dichotomous data in diverse fields. Ample new topics andexpanded discussions of existing material are accompanied by awealth of real-world examples-with extensive data sets availableover the Internet.

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David W. Hosmer

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Biometrie Logistische Verteilung Regression Analysis Regressionsanalyse Statistics Statistik

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"This well written, organized, comprehensive, and useful book willbe appreciated by graduate students and researchers." (Journalof Statistical Computation and Simulation, January 2006) ".the revised text continues to provide a focused introductionto the logistic regression model and its use in methods formodelling." (Short Book Reviews, Vol. 21, No. 2, August2001) "In this revised and updated edition of the popular test, theauthors incorporate theoretical and computing advances from thelast decade." (Journal of the American StatisticalAssociation, September 2001) ".an excellent book that balances many objectives well. Allstatistical practitioners.can benefit from this book.AppliedLogistic Regression is an ideal choice." (Technometrics,February 2002) ".a focused introduction to the logistic regression model andits use in methods for modeling the relationship between acategorical outcome variable and a set of covariates."(Zentralblatt MATH, Vol. 967, 2001/17) ".it remains an extremely valuable text for everyone workingor teaching in fields like epidemiology." (Statistics inMedicine, No.21, 2002) ".The book is a classic, extremely well written, and itincludes a variety of software packages and real examples." (TheStatistician, Vol. 51, No.2, 2002)
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