Analysis Of Binary Data
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Analysis Of Binary Data
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Author : D.R. Cox
language : en
Publisher: Routledge
Release Date : 2018-02-19
Analysis Of Binary Data written by D.R. Cox and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Mathematics categories.
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.
Analysis Of Binary Data Second Edition
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Author : D.R. Cox
language : en
Publisher:
Release Date : 2018
Analysis Of Binary Data Second Edition written by D.R. Cox and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Electronic books categories.
"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."--Provided by publisher.
The Analysis Of Binary Data
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Author : David Roxbee Cox
language : en
Publisher:
Release Date : 1977
The Analysis Of Binary Data written by David Roxbee Cox and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
The Analysis Of Binary Data
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Author : D. R. Cox
language : en
Publisher:
Release Date : 1987
The Analysis Of Binary Data written by D. R. Cox and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Meta Analysis Of Binary Data Using Profile Likelihood
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Author : Dankmar Bohning
language : en
Publisher: CRC Press
Release Date : 2008-03-27
Meta Analysis Of Binary Data Using Profile Likelihood written by Dankmar Bohning and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-27 with Mathematics categories.
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
Analysis Of Binary Data
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Author : David R. Cox
language : en
Publisher: Halsted Press
Release Date : 1970
Analysis Of Binary Data written by David R. Cox and has been published by Halsted Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with categories.
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
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Author : David Collett
language : en
Publisher: CRC Press
Release Date : 2002-09-25
Modelling Binary Data written by David Collett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-25 with Mathematics categories.
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
Modelling Binary Data Second Edition
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Author : David Collett
language : en
Publisher: CRC Press
Release Date : 2002-09-25
Modelling Binary Data Second Edition written by David Collett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-25 with Mathematics categories.
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 : D. Collett
language : en
Publisher: Springer
Release Date : 2013-08-22
Modelling Binary Data written by D. Collett and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-22 with Mathematics categories.
Marginal Models In Analysis Of Correlated Binary Data With Time Dependent Covariates
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Author : Jeffrey R. Wilson
language : en
Publisher: Springer Nature
Release Date : 2020-09-28
Marginal Models In Analysis Of Correlated Binary Data With Time Dependent Covariates written by Jeffrey R. Wilson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-28 with Medical categories.
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.