Optimal Scaling Of Interaction Effects In Generalized Linear Models
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Optimal Scaling Of Interaction Effects In Generalized Linear Models
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Author : J.M. van Rosmalen
language : en
Publisher:
Release Date : 2007
Optimal Scaling Of Interaction Effects In Generalized Linear Models written by J.M. van Rosmalen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Interaction Effects In Linear And Generalized Linear Models
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Author : Robert L. Kaufman
language : en
Publisher: SAGE Publications
Release Date : 2018-09-06
Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Social Science categories.
Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman’s website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.
Generalized Linear Mixed Models
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Author : Walter W. Stroup
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Generalized Linear Mixed Models written by Walter W. Stroup and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
With numerous examples using SAS PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider.
Interaction Effects In Linear And Generalized Linear Models
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Author : Robert L. Kaufman
language : en
Publisher:
Release Date : 2018
Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Linear models (Statistics) categories.
Generalized Linear Models With Random Effects
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Author : Youngjo Lee
language : en
Publisher: CRC Press
Release Date : 2006-07-13
Generalized Linear Models With Random Effects written by Youngjo Lee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-13 with Mathematics categories.
Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including combining information over trials (meta-analysis), analysis of frailty models for survival data, genetic epidemiology, and analysis of spatial and temporal models with correlated errors. Written by pioneering authorities in the field, this reference provides an introduction to various theories and examines likelihood inference and GLMs. The authors show how to extend the class of GLMs while retaining as much simplicity as possible. By maximizing and deriving other quantities from h-likelihood, they also demonstrate how to use a single algorithm for all members of the class, resulting in a faster algorithm as compared to existing alternatives. Complementing theory with examples, many of which can be run by using the code supplied on the accompanying CD, this book is beneficial to statisticians and researchers involved in the above applications as well as quality-improvement experiments and missing-data analysis.
Association Models
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Author : Raymond Sin-Kwok Wong
language : en
Publisher: SAGE Publications
Release Date : 2010-02-09
Association Models written by Raymond Sin-Kwok Wong and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-09 with Social Science categories.
Offers readers invaluable guidance on handling cross-classified data Broadening the scope of association models beyond the typical sociological and psychological fields, author Raymond S. Wong shows readers how to analyze and comprehend any social science data presented in cross-classified formats. Through a careful exposition of various association models, the text examines the underlying structure of odds-ratios, offering a unified framework for students and researchers in the process. Rich illustrative examples (from data generated by the General Social Survey and other sources) demonstrate why and how association models are a better option than conventional log-linear models or non-parametric specifications. This resource is appropriate for graduate students and researchers across the social and behavioral sciences who need to chose and apply the appropriate statistical tools to decipher and interpret cross-classified data.
Interaction Effects In Linear And Generalized Linear Models
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Author : Robert L. Kaufman
language : en
Publisher: SAGE Publications
Release Date : 2018-09-06
Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Social Science categories.
"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results." –Nicole Kalaf-Hughes, Bowling Green State University Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The author’s website provides a downloadable toolkit of Stata® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata® dataset files to run the examples in the book.
Generalized Linear Models And Extensions Second Edition
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Author : James W. Hardin
language : en
Publisher: Stata Press
Release Date : 2007
Generalized Linear Models And Extensions Second Edition written by James W. Hardin and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Deftly balancing theory and application, this book stands out in its coverage of the derivation of the GLM families and their foremost links. This edition has new sections on discrete response models, including zero-truncated, zero-inflated, censored, and hurdle count models, as well as heterogeneous negative binomial, and more.
Statistics For Pathologists
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Author : Danny A. Milner, Jr., MD
language : en
Publisher: Springer Publishing Company
Release Date : 2016-12-28
Statistics For Pathologists written by Danny A. Milner, Jr., MD and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-28 with Medical categories.
This essential guide provides a clear, accessible review of the use of statistics in pathology studies. Spanning topics such as exploratory data analysis and descriptive statistics as well as the use of comparative statistics, concordance analysis, categorical and continuous data regression analyses, count data, survival analyses, decision point and clustering analysis, and more, this practical book comprehensively demystifies all the statistical knowledge paramount to working in the field. Throughout the guide, the author team highlights common errors and pitfalls that occur when performing tests and when interpreting data and make suggestions for how to avoid mistakes. Chapters are uniformly structured for ease of use and each chapter concludes with reviewquestions to facilitate self-assessment of the reader's skill in use of statistical methods. Statistics for Pathologists teaches trainees, junior investigators, and seasoned pathologists how to look at their data from the point of view of a statistician and determine what tests should be done, how the data and test should be presented, and how to use the tests practically. Learning statistical applications can greatly enhance and simplify the skills necessary to review and present data accurately and this basic understanding of statistics is critical in pathology-related work. Key Features Clear, concise overviews of every relevant statistical test with application in pathology-related research Includes real published studies to provide examples of use of the tests and interpretation of data Emphasizes how to avoid common errors and pitfalls when conducting tests and interpreting data Provides self-assessment review questions and answers in each chapter Comes with downloadable datasets for the reader so that they can perform statistical analysis tied to the book with popular stats programs
Generalized Linear Models For Insurance Rating
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Author : Mark Goldburd
language : en
Publisher:
Release Date : 2016-06-08
Generalized Linear Models For Insurance Rating written by Mark Goldburd and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-08 with categories.