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Mathematical statistics --- Regression analysis --- 519.2 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Probability. Mathematical statistics --- Regression analysis. --- Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- 519.2 Probability. Mathematical statistics
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This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: ¢ Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing ¢ Assessing Goodness to Fit for Logistic Regression ¢ Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text. David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public Health in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. The recipient of numerous teaching awards, he received the first Association of Schools of Public Health Pfizer Award for Distinguished Career Teaching in 2005. Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and Occupational Health Department and the Epidemiology Department at Emory University Rollins School of Public Health. He has successfully designed and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. Dr. Klein is co-author with Dr. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.
Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- Medicine --- Regression Analysis --- Logistic distribution --- Research --- Statistical methods --- Regression analysis. --- Logistic distribution. --- Statistical methods. --- Medicine - Research - Statistical methods
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Mathematical statistics --- Regression analysis. --- Analyse de régression --- Regression analysis --- 519.233.5 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Correlation analysis. Regression analysis --- Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- 519.233.5 Correlation analysis. Regression analysis --- Analyse de régression
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Mathematical statistics --- Regression analysis --- Nonlinear theories --- Regression analysis. --- Nonlinear theories. --- Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics
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Mathematical statistics --- Linear models (Statistics) --- Nonlinear theories --- Parameter estimation --- Regression analysis --- Modèles linéaires (Statistique) --- Théories non linéaires --- Estimation d'un paramètre --- Analyse de régression --- Regression Analysis --- 519.237 --- 519.246 --- #ABIB:abtm --- #TELE:SISTA --- lineaire regressie --- niet-lineaire curve --- wiskunde --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Estimation theory --- Stochastic systems --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Multivariate statistical methods --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Nonlinear theories. --- Parameter estimation. --- Regression analysis. --- Basic Sciences. Statistics --- Correlation and Regression Analysis --- Linear models (Statistics). --- Correlation and Regression Analysis. --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- 519.237 Multivariate statistical methods --- Modèles linéaires (Statistique) --- Théories non linéaires --- Estimation d'un paramètre --- Analyse de régression --- Statistical methods
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From the reviews of the First Edition."An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."-Choice"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."-Contemporary Sociology"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."-The StatisticianIn this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.
Mathematical statistics --- QA 278.2 .H67 2000 Regression analysis. Correlation analysis --- Regression analysis --- Regression Analysis --- Méthode statistique --- Statistical methods --- Analyse de données --- Data analysis --- 519.23 --- #SBIB:303H520 --- Statistische analyse 519.23 --- Economische gedragsmodellen 519.865 --- 519.233.5 --- AA / International- internationaal --- 303.5 --- 519.536 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Statistical analysis. Inference methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Correlation analysis. Regression analysis --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Regression analysis. --- Basic Sciences. Statistics --- Correlation and Regression Analysis --- Correlation and Regression Analysis. --- 519.233.5 Correlation analysis. Regression analysis --- 519.23 Statistical analysis. Inference methods --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Statistique mathematique --- Regression
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There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.
Regression analysis --- Analysis of variance. --- Experimental design. --- Linear models (Statistics) --- Regression analysis. --- Basic Sciences. Statistics --- Applied Statistics --- Correlation and Regression Analysis --- Linear models (Statistics). --- Applied Statistics. --- Correlation and Regression Analysis. --- statistisch onderzoek --- Analyse de régression --- Analyse de variance --- Plan d'expérience --- Modèles linéaires (Statistique) --- Regression Analysis --- Experimental design --- 519.22 --- 57.087.1 --- #BREK:statistiek --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Models, Linear (Statistics) --- Design of experiments --- Statistical design --- Statistical decision --- Analysis of means --- ANOVA (Analysis of variance) --- Variance analysis --- Statistical theory. Statistical models. Mathematical statistics in general --- Biometry. Statistical study and treatment of biological data --- Experiments --- Contains audio-visual material --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Analyse de régression --- Plan d'expérience --- Modèles linéaires (Statistique) --- Analysis of variance --- Statistiek --- 311 --- Mathematical models --- Mathematical statistics --- Statistics --- Mathematical optimization --- Research --- Science --- 311 Statistische methoden --- Statistische methoden --- Methodology --- Quantitative methods in social research --- statistiek --- Modèles linéaires (statistique) --- Statistique mathématique --- Mathematical statistics. --- Modèles linéaires (statistique) --- Statistique mathématique
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