Modelling Binary Data, Second Edition

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Publisher : CRC Press
ISBN 13 : 1584883243
Total Pages : 406 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Modelling Binary Data, Second Edition by : David Collett

Download or read book Modelling Binary Data, Second Edition written by David Collett and published by CRC Press. This book was released on 2002-09-25 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the statistician's toolbox, and author Dave Collett has fully updated his popular treatise to incorporate these important advances. Modelling Binary Data, Second Edition now provides an even more comprehensive and practical guide to statistical methods for analyzing binary data. Along with thorough revisions to the original material-now independent of any particular software package- it includes a new chapter introducing mixed models for binary data analysis and another on exact methods for modelling binary data. The author has also added material on modelling ordered categorical data and provides a summary of the leading software packages. All of the data sets used in the book are available for download from the Internet, and the appendices include additional data sets useful as exercises.

Modelling Binary Data

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Author :
Publisher : CRC Press
ISBN 13 : 1420057383
Total Pages : 397 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Modelling Binary Data by : David Collett

Download or read book Modelling Binary Data written by David Collett and published by CRC Press. This book was released on 2002-09-25 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the

Analysis of Binary Data

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Author :
Publisher : Routledge
ISBN 13 : 1351466739
Total Pages : 240 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Analysis of Binary Data by : D.R. Cox

Download or read book Analysis of Binary Data written by D.R. Cox and published by Routledge. This book was released on 2018-02-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on m.aximum likelihood methods. There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.

Modelling Binary Data, Second Edition

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Author :
Publisher : Chapman and Hall/CRC
ISBN 13 :
Total Pages : 388 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Modelling Binary Data, Second Edition by : D. Collett

Download or read book Modelling Binary Data, Second Edition written by D. Collett and published by Chapman and Hall/CRC. This book was released on 1991-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook of an intermediate level, this work shows how binary data can be analyzed using a modelling approach, dwelling on practical aspects, incorporating recent work on checking the adequacy of fitted models and showing how computational facilities can be exploited.

Modelling Binary Data

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Author :
Publisher : Springer
ISBN 13 : 9781489944764
Total Pages : 369 pages
Book Rating : 4.9/5 (447 download)

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Book Synopsis Modelling Binary Data by : D. Collett

Download or read book Modelling Binary Data written by D. Collett and published by Springer. This book was released on 2013-08-22 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modelling Binary Data (Hardback)

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Author :
Publisher : Chapman and Hall/CRC
ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Modelling Binary Data (Hardback) by : D. Collett

Download or read book Modelling Binary Data (Hardback) written by D. Collett and published by Chapman and Hall/CRC. This book was released on 1991-10 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how binary data, that is, data that can take one of two possible forms (such as alive/dead or success/failure), can be analyzed using statistical modeling. The role of the linear logistic model is particularly stressed, but models based on the probit and complementary log-log transformations are also introduced. Annotation copyrighted by Book News, Inc., Portland, OR

Bayesian and Frequentist Regression Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 1441909257
Total Pages : 700 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Bayesian and Frequentist Regression Methods by : Jon Wakefield

Download or read book Bayesian and Frequentist Regression Methods written by Jon Wakefield and published by Springer Science & Business Media. This book was released on 2013-01-04 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.

Meta-analysis of Binary Data Using Profile Likelihood

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Publisher : CRC Press
ISBN 13 : 1420011332
Total Pages : 207 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Meta-analysis of Binary Data Using Profile Likelihood by : Dankmar Bohning

Download or read book Meta-analysis of Binary Data Using Profile Likelihood written by Dankmar Bohning and published by CRC Press. This book was released on 2008-03-27 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It presents a unifying approac

Modeling Binary Correlated Responses using SAS, SPSS and R

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Author :
Publisher : Springer
ISBN 13 : 3319238051
Total Pages : 264 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Modeling Binary Correlated Responses using SAS, SPSS and R by : Jeffrey R. Wilson

Download or read book Modeling Binary Correlated Responses using SAS, SPSS and R written by Jeffrey R. Wilson and published by Springer. This book was released on 2015-10-12 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

The Analysis of Binary Data

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Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The Analysis of Binary Data by : David Roxbee Cox

Download or read book The Analysis of Binary Data written by David Roxbee Cox and published by . This book was released on 1970 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The linear logistic model; The empirical logistic transform; Exact analysis for a single parameter; Further problems concerning a single parameter; More complex problems; Some further topics.

Eclipsing Binary Stars

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Publisher : Springer Science & Business Media
ISBN 13 : 1475731280
Total Pages : 376 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Eclipsing Binary Stars by : Josef Kallrath

Download or read book Eclipsing Binary Stars written by Josef Kallrath and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focussing on the formulation of mathematical models for the light curves of eclipsing binary stars, and on the algorithms for generating such models, this book provides astronomers, both amateur and professional, with a guide for - specifying an astrophysical model for a set of observations - selecting an algorithm to determine the parameters of the model - estimating the errors of the parameters. It is written for readers with knowledge of basic calculus and linear algebra; appendices cover mathematical details on such matters as optimisation, co-ordinate systems, and specific models. While emphasising the physical and mathematical framework, the discussion remains close to the problems of actual implementation. The book concludes with chapters on specific models and approaches and the authors'views on the structure of future light-curve programs.

Handbook of Regression Modeling in People Analytics

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Publisher : CRC Press
ISBN 13 : 1000427897
Total Pages : 272 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Regression Modeling in People Analytics by : Keith McNulty

Download or read book Handbook of Regression Modeling in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2021-07-29 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) Clear step-by-step instructions on executing the analyses Clear guidance on how to interpret results Primary instruction in R but added sections for Python coders Discussion exercises and data exercises for each of the main chapters Final chapter of practice material and datasets ideal for class homework or project work.

Constructing and Testing Logistic Regression Models for Binary Data

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Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Constructing and Testing Logistic Regression Models for Binary Data by : Don O. Loftsgaarden

Download or read book Constructing and Testing Logistic Regression Models for Binary Data written by Don O. Loftsgaarden and published by . This book was released on 1992 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ordinal Data Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 0387227024
Total Pages : 258 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Ordinal Data Modeling by : Valen E. Johnson

Download or read book Ordinal Data Modeling written by Valen E. Johnson and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

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Author :
Publisher : Springer Nature
ISBN 13 : 3030489043
Total Pages : 182 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates by : Jeffrey R. Wilson

Download or read book Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates written by Jeffrey R. Wilson and published by Springer Nature. This book was released on 2020-09-28 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health. ​

Constructing and Testing Logistic Regression Models for Binary Data

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Publisher :
ISBN 13 :
Total Pages : 478 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Constructing and Testing Logistic Regression Models for Binary Data by : Anne F. Bradley

Download or read book Constructing and Testing Logistic Regression Models for Binary Data written by Anne F. Bradley and published by . This book was released on 1992 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Categorical Data Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1119405270
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis An Introduction to Categorical Data Analysis by : Alan Agresti

Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.