Longitudinal Categorical Data Analysis

Author : Brajendra C. Sutradhar
Publisher : Springer
Page : 369 pages
File Size : 49,6 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.

Author : Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs
Publisher : CRC Press
Page : 633 pages
File Size : 43,7 Mb
Release : 2008-08-11
Category : Mathematics
ISBN : 9781420011579

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Longitudinal Data Analysis by Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs Pdf

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

Author : Alexander von Eye,Keith E. Niedermeier
Publisher : Psychology Press
Page : 169 pages
File Size : 49,7 Mb
Release : 2014-04-04
Category : Psychology
ISBN : 9781135671242

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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences by Alexander von Eye,Keith E. Niedermeier Pdf

A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Written for social scientists and students, no advanced mathematical training is required. Step-by-step command files are given for both the CDAS and the SPSS software programs.

Author : Wicher Bergsma,Marcel A. Croon,Jacques A. Hagenaars
Publisher : Springer Science & Business Media
Page : 274 pages
File Size : 41,8 Mb
Release : 2009-04-03
Category : Science
ISBN : 9780387096100

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Marginal Models by Wicher Bergsma,Marcel A. Croon,Jacques A. Hagenaars Pdf

Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.

Author : Xian Liu
Publisher : Elsevier
Page : 530 pages
File Size : 51,5 Mb
Release : 2015-09-11
Category : Mathematics
ISBN : 9780128014820

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Methods and Applications of Longitudinal Data Analysis by Xian Liu Pdf

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.

Author : Donald Hedeker,Robert D. Gibbons
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 42,7 Mb
Release : 2006-05-12
Category : Mathematics
ISBN : 9780470036471

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Longitudinal Data Analysis by Donald Hedeker,Robert D. Gibbons Pdf

Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Author : Alan Agresti
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 46,8 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.

Author : Jos W. R. Twisk
Publisher : Cambridge University Press
Page : 337 pages
File Size : 51,9 Mb
Release : 2013-05-09
Category : Medical
ISBN : 9781107030039

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Applied Longitudinal Data Analysis for Epidemiology by Jos W. R. Twisk Pdf

A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.

Author : Jason Newsom,Richard N. Jones,Scott M. Hofer
Publisher : Routledge
Page : 407 pages
File Size : 44,9 Mb
Release : 2013-06-19
Category : Psychology
ISBN : 9781136705472

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Longitudinal Data Analysis by Jason Newsom,Richard N. Jones,Scott M. Hofer Pdf

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Author : Peter G. van der Heijden
Publisher : Unknown
Page : 278 pages
File Size : 40,9 Mb
Release : 1987
Category : Longitudinal method
ISBN : 9090016287

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Correspondence analysis of longitudinal categorical data by Peter G. van der Heijden Pdf

Author : Peter G. M. Heijden
Publisher : Unknown
Page : 298 pages
File Size : 46,5 Mb
Release : 1987
Category : Event history analysis
ISBN : STANFORD:36105018858261

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Correspondence Analysis of Longitudinal Categorical Data by Peter G. M. Heijden Pdf

Author : Wan Tang,Hua He,Xin M. Tu
Publisher : CRC Press
Page : 395 pages
File Size : 52,7 Mb
Release : 2023-04-06
Category : Mathematics
ISBN : 9781000863970

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Applied Categorical and Count Data Analysis by Wan Tang,Hua He,Xin M. Tu Pdf

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Features: Describes the basic ideas underlying each concept and model Includes R, SAS, SPSS and Stata programming codes for all the examples Features significantly expanded Chapters 4, 5, and 8 (Chapters 4-6, and 9 in the second edition Expands discussion for subtle issues in longitudinal and clustered data analysis such as time varying covariates and comparison of generalized linear mixed-effect models with GEE

Author : David J. Hand
Publisher : Routledge
Page : 185 pages
File Size : 45,8 Mb
Release : 2017-10-06
Category : Mathematics
ISBN : 9781351422659

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Practical Longitudinal Data Analysis by David J. Hand Pdf

This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.

Author : Judith D. Singer,John B. Willett
Publisher : Oxford University Press
Page : 672 pages
File Size : 49,7 Mb
Release : 2003-03-27
Category : Mathematics
ISBN : 0195152964

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Applied Longitudinal Data Analysis by Judith D. Singer,John B. Willett Pdf

By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.

Author : Professor Catrien C J H C J H Bijleveld,Leo J. Th. van der Kamp,Professor Leo J Th Van Der Kamp,Ab Mooijaart,Dr Willem A Van Der Van Der Kloot,Dr Rien Van Der Leeden,Eeke Van Der Burg
Publisher : SAGE
Page : 462 pages
File Size : 44,5 Mb
Release : 1998-10-26
Category : Social Science
ISBN : 1446231585

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Longitudinal Data Analysis by Professor Catrien C J H C J H Bijleveld,Leo J. Th. van der Kamp,Professor Leo J Th Van Der Kamp,Ab Mooijaart,Dr Willem A Van Der Van Der Kloot,Dr Rien Van Der Leeden,Eeke Van Der Burg Pdf

By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.