Applied Logistic Regression Analysis. This item is unavailable.Applied Logistic Regression Analysis

"Here is another, number 106, of the concise, practical, and economical little paperbacks in the publisher′′s Quantitative Applications in the Social Sciences Series. . . . this is one of the best. . . . the author systematically presents each aspect of MLR practice, then introduces the corresponding aspect of logistic regression analysis (LRA) by the method of comparison and contrast. It is a very effective style. . . . The book is well written and interesting to read in its entirety. Concepts are clearly presented, logically motivated, and effectively illustrated. . . . Any statistician would be proud to have written this book." --Technometrics Aimed at the student or professional whose statistical background may not extend beyond ordinary least squares multiple regression analysis, Brown introduces logistic regression as an extension of linear regression and emphasizes the parallels between the two. Unique features of the book include detailed consideration of goodness of fit and indices of predictive efficiency, standardized logistic regression coefficients, and the use of existing SPSS and SAS software for loglinear and logit models to calculate logistic regression models for polytomous nominal and ordinal dependent variables. With an emphasis on application of computer statistical packages rather than theorems and proofs, Brown offers a nontechnical and applied introduction to this useful topic.

Scott Menard is a Professor of Criminal Justice at Sam Houston State University and a research associate in the Institute of Behavioral Science at the University of Colorado, Boulder. He received his A.B. at Cornell University and his Ph.D. at the University of Colorado, Boulder, both in Sociology. His interests include quantitative methods and statistics, life course criminology, substance abuse, and criminal victimization. His publications include Longitudinal Research (second edition Sage 2002), Applied Logistic Regression Analysis (second edition Sage 2002), Good Kids from Bad Neighborhoods (Cambridge University Press 2006, with Delbert S. Elliott, Bruce Rankin, Amanda Elliott, William Julius Wilson, and David Huizinga), Youth Gangs (Charles C. Thomas 2006, with Robert J. Franzese and Herbert C. Covey), and the Handbook of Longitudinal Research (Elsevier 2008), as well as other books and journal articles in the areas of criminology, delinquency, population studies, and statistics.