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This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the;
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regression model in detail Illustrates concepts with applied examples to help readers understand how concepts are translated into the logistic;
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The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also;
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regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis;
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examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes;
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regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis;
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Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;
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13 - Other Approaches for Analysis of Correlated Data. Chapters 9 and 10 extend logistic regression to response variables that have more than;
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"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;
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This book explores the fun things researchers can do with logistic regression, explicates and simplifies the confounding complexities;
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and Concomitants Volume Two: Factor Analysis, Regression Diagnostics, and Model Building Volume Three: Data Transformations;
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This book provides an in-depth overview of simple and multiple linear regression analysis, one-way and multi-way analysis of variance, and;
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Provides a unified framework for both single-level and multilevel modeling of ordinal categorical da;...
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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;
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Vergelijkbare producten zoals DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: SUPPORT VECTOR MACHINE, LOGISTIC REGRESSION, DISCRIMINANT ANALYSIS and DECISION TREES
This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples.;
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Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for;
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A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford;
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Pampel's book offers readers the first nuts and bolts' approach to doing logistic regression through the use of careful explanations and;
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explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling;
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in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression;
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on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. The book begins with an;
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explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling;
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Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to;
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Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly;
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Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly;
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