An Introduction To Categorical Data Analysis

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An Introduction to Categorical Data Analysis

Alan Agresti
An Introduction to Categorical Data Analysis Book PDF

Author : Alan Agresti
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 52,5 Mb
Release : 2018-10-11
Category : Mathematics
ISBN : 9781119405276

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An Introduction to Categorical Data Analysis by Alan Agresti Pdf

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

Categorical Data Analysis

Alan Agresti
Categorical Data Analysis Book PDF

Author : Alan Agresti
Publisher : John Wiley & Sons
Page : 752 pages
File Size : 42,6 Mb
Release : 2013-04-08
Category : Mathematics
ISBN : 9781118710944

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Categorical Data Analysis by Alan Agresti Pdf

Praise for the Second Edition "A must-have book for anyone expecting to do research and/orapplications in categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is anessential desktop reference." —Technometrics The use of statistical methods for analyzing categorical datahas increased dramatically, particularly in the biomedical, socialsciences, and financial industries. Responding to new developments,this book offers a comprehensive treatment of the most importantmethods for categorical data analysis. Categorical Data Analysis, Third Edition summarizes thelatest methods for univariate and correlated multivariatecategorical responses. Readers will find a unified generalizedlinear models approach that connects logistic regression andPoisson and negative binomial loglinear models for discrete datawith normal regression for continuous data. This edition alsofeatures: An emphasis on logistic and probit regression methods forbinary, ordinal, and nominal responses for independent observationsand for clustered data with marginal models and random effectsmodels Two new chapters on alternative methods for binary responsedata, including smoothing and regularization methods,classification methods such as linear discriminant analysis andclassification trees, and cluster analysis New sections introducing the Bayesian approach for methods inthat chapter More than 100 analyses of data sets and over 600 exercises Notes at the end of each chapter that provide references torecent research and topics not covered in the text, linked to abibliography of more than 1,200 sources A supplementary website showing how to use R and SAS; for allexamples in the text, with information also about SPSS and Stataand with exercise solutions Categorical Data Analysis, Third Edition is an invaluabletool for statisticians and methodologists, such as biostatisticiansand researchers in the social and behavioral sciences, medicine andpublic health, marketing, education, finance, biological andagricultural sciences, and industrial quality control.

Analysis of Ordinal Categorical Data

Alan Agresti
Analysis of Ordinal Categorical Data Book PDF

Author : Alan Agresti
Publisher : John Wiley & Sons
Page : 424 pages
File Size : 45,5 Mb
Release : 2012-07-06
Category : Mathematics
ISBN : 9781118209998

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Analysis of Ordinal Categorical Data by Alan Agresti Pdf

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

Introduction to the Statistical Analysis of Categorical Data

Erling B. Andersen
Introduction to the Statistical Analysis of Categorical Data Book PDF

Author : Erling B. Andersen
Publisher : Springer Science & Business Media
Page : 274 pages
File Size : 43,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642591235

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Introduction to the Statistical Analysis of Categorical Data by Erling B. Andersen Pdf

This book deals with the analysis of categorical data. Statistical models, especially log-linear models for contingency tables and logistic regression, are described and applied to real life data. Special emphasis is given to the use of graphical methods. The book is intended as a text for both undergraduate and graduate courses for statisticians, applied statisticians, social scientists, economists and epidemiologists. Many examples and exercises with solutions should help the reader to understand the material.

Analysis of Categorical Data with R

Christopher R. Bilder,Thomas M. Loughin
Analysis of Categorical Data with R Book PDF

Author : Christopher R. Bilder,Thomas M. Loughin
Publisher : CRC Press
Page : 549 pages
File Size : 53,7 Mb
Release : 2014-08-11
Category : Mathematics
ISBN : 9781439855676

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Analysis of Categorical Data with R by Christopher R. Bilder,Thomas M. Loughin Pdf

Learn How to Properly Analyze Categorical Data Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The Use of R as Both a Data Analysis Method and a Learning Tool Requiring no prior experience with R, the text offers an introduction to the essential features and functions of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods. Web Resource The data sets and R programs from each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and piece of output. Many of these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the book, the website also uniquely provides videos of the authors teaching a course on the subject. These videos include live, in-class recordings, which instructors may find useful in a blended or flipped classroom setting. The videos are also suitable as a substitute for a short course.

Learning Statistics with R

Daniel Navarro
Learning Statistics with R Book PDF

Author : Daniel Navarro
Publisher : Lulu.com
Page : 617 pages
File Size : 51,6 Mb
Release : 2013-01-13
Category : Psychology
ISBN : 9781326189723

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Learning Statistics with R by Daniel Navarro Pdf

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Discrete Data Analysis with R

Michael Friendly,David Meyer
Discrete Data Analysis with R Book PDF

Author : Michael Friendly,David Meyer
Publisher : CRC Press
Page : 700 pages
File Size : 42,5 Mb
Release : 2015-12-16
Category : Mathematics
ISBN : 9781498725866

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Discrete Data Analysis with R by Michael Friendly,David Meyer Pdf

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth

Categorical Data Analysis for the Behavioral and Social Sciences

Razia Azen,Cindy M. Walker
Categorical Data Analysis for the Behavioral and Social Sciences Book PDF

Author : Razia Azen,Cindy M. Walker
Publisher : Routledge
Page : 354 pages
File Size : 45,9 Mb
Release : 2021-05-26
Category : Psychology
ISBN : 9781000383935

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Categorical Data Analysis for the Behavioral and Social Sciences by Razia Azen,Cindy M. Walker Pdf

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.

Statistical Methods for Categorical Data Analysis

Daniel Powers,Yu Xie
Statistical Methods for Categorical Data Analysis Book PDF

Author : Daniel Powers,Yu Xie
Publisher : Emerald Group Publishing
Page : 296 pages
File Size : 52,5 Mb
Release : 2008-11-13
Category : Psychology
ISBN : 1781906599

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Statistical Methods for Categorical Data Analysis by Daniel Powers,Yu Xie Pdf

This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. Companion website also available, at https://webspace.utexas.edu/dpowers/www/

Categorical Data Analysis and Multilevel Modeling Using R

Xing Liu
Categorical Data Analysis and Multilevel Modeling Using R Book PDF

Author : Xing Liu
Publisher : SAGE Publications
Page : 624 pages
File Size : 53,5 Mb
Release : 2022-02-25
Category : Social Science
ISBN : 9781544324883

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Categorical Data Analysis and Multilevel Modeling Using R by Xing Liu Pdf

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.

The Statistical Analysis of Categorical Data

Erling B. Andersen
The Statistical Analysis of Categorical Data Book PDF

Author : Erling B. Andersen
Publisher : Springer Science & Business Media
Page : 533 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642972256

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The Statistical Analysis of Categorical Data by Erling B. Andersen Pdf

The aim of this book is to give an up to date account of the most commonly uses statist i cal models for categoriCal data. The emphasis is on the connection between theory and appIications to real data sets. The book only covers models for categorical data. Various n:t0dels for mixed continuous and categorical data are thus excluded. The book is written as a textbook, although many methods and results are quite recent. This should imply, that the book can be used for a graduate course in categorical data analysis. With this aim in mind chapters 3 to 12 are concluded with a set of exer eises. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can didates for an example. A certain amount of general knowledge of statistical theory is necessary to fully benefit from the book. A summary of the basic statistical concepts deemed necessary pre requisites is given in chapter 2. The mathematical level is only moderately high, but the account in chapter 3 of basic properties of exponential families and the parametric multinomial distribution is made as mathematical preeise as possible without going into mathematical details and leaving out most proofs.

Lectures on Categorical Data Analysis

Tamás Rudas
Lectures on Categorical Data Analysis Book PDF

Author : Tamás Rudas
Publisher : Springer
Page : 285 pages
File Size : 42,6 Mb
Release : 2018-03-30
Category : Social Science
ISBN : 9781493976935

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Lectures on Categorical Data Analysis by Tamás Rudas Pdf

This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.

Categorical Data Analysis by Example

Graham J. G. Upton
Categorical Data Analysis by Example Book PDF

Author : Graham J. G. Upton
Publisher : John Wiley & Sons
Page : 212 pages
File Size : 41,9 Mb
Release : 2016-11-14
Category : Mathematics
ISBN : 9781119307860

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Categorical Data Analysis by Example by Graham J. G. Upton Pdf

Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations. The R code used for these is available and may be freely adapted. In addition, this book: Uses an example to illustrate each new topic in categorical data Provides a clear explanation of an important subject Is understandable to most readers with minimal statistical and mathematical backgrounds Contains examples that are accompanied by R code and resulting output Includes starred sections that provide more background details for interested readers Categorical Data Analysis by Example is a reference for students in statistics and researchers in other disciplines, especially the social sciences, who use categorical data. This book is also a reference for practitioners in market research, medicine, and other fields.

Categorical Data Analysis Using SAS, Third Edition

Maura E. Stokes,Charles S. Davis,Gary G. Koch
Categorical Data Analysis Using SAS Third Edition Book PDF

Author : Maura E. Stokes,Charles S. Davis,Gary G. Koch
Publisher : SAS Institute
Page : 590 pages
File Size : 53,8 Mb
Release : 2012-07-31
Category : Computers
ISBN : 9781629590356

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Categorical Data Analysis Using SAS, Third Edition by Maura E. Stokes,Charles S. Davis,Gary G. Koch Pdf

Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

Longitudinal Categorical Data Analysis

Brajendra C. Sutradhar
Longitudinal Categorical Data Analysis Book PDF

Author : Brajendra C. Sutradhar
Publisher : Springer
Page : 369 pages
File Size : 51,7 Mb
Release : 2014-10-30
Category : Mathematics
ISBN : 9781493921379

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Longitudinal Categorical Data Analysis by Brajendra C. Sutradhar Pdf

This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of univariate multinomial responses, by developing models systematically for the cases with no covariates as well as categorical covariates, both in cross-sectional and longitudinal setups. In the longitudinal setup, both stationary and non-stationary covariates are considered. These models have also been extended to the bivariate multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as well as the exact likelihood approaches. The book is technically rigorous, and, it also presents illustrations of the statistical analysis of various real life data involving univariate multinomial responses both in cross-sectional and longitudinal setups. This book is written mainly for the graduate students and researchers in statistics and social sciences, among other applied statistics research areas. However, the rest of the book, specifically the chapters from 1 to 3, may also be used for a senior undergraduate course in statistics.