Methods and Applications of Longitudinal Data Analysis Book

Methods and Applications of Longitudinal Data Analysis


  • Author : Xian Liu
  • Publisher : Elsevier
  • Release Date : 2015-09-11
  • Genre: Mathematics
  • Pages : 530
  • ISBN 10 : 9780128014820

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Methods and Applications of Longitudinal Data Analysis Excerpt :

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.

Longitudinal Data Analysis Book
Score: 2
From 2 Ratings

Longitudinal Data Analysis


  • Author : Garrett Fitzmaurice
  • Publisher : CRC Press
  • Release Date : 2008-08-11
  • Genre: Mathematics
  • Pages : 632
  • ISBN 10 : 142001157X

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Longitudinal Data Analysis Excerpt :

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 and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data. After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines. Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

Longitudinal Data Analysis Book

Longitudinal Data Analysis


  • Author : Xian Liu
  • Publisher : Academic Press
  • Release Date : 2015-09-01
  • Genre: Mathematics
  • Pages : 548
  • ISBN 10 : 0128013427

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Longitudinal Data Analysis Excerpt :

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.

Longitudinal Data Analysis Book

Longitudinal Data Analysis


  • Author : Jason Newsom
  • Publisher : Routledge
  • Release Date : 2013-06-19
  • Genre: Health & Fitness
  • Pages : 408
  • ISBN 10 : 9781136705472

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Longitudinal Data Analysis Excerpt :

"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 12 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 fur further study and a list of articles that further illustrate how to implement the analysis and report the results. An accompanying website provides syntax examples for several software packages for each of the chapter examples. 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. Although most chapters emphasize the use of large studies collected over long term periods, much of the book is also relevant to researchers who analyze data collected in shorter time periods. The book opens with issues related to using publicly available data sets including a description of the goals, designs, and measures of the data. The next 10 chapters provide non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis, including: weighting samples and adjusting designs for longitudinal studies; missing data and attrition; measurement issues related to longitudinal research; the use of ANOVA and regression for averaging change over time; mediation analysis for analyzing causal processes; growth curve models using multilevel regression; longitudinal hypotheses using structural equation modeling (SEM); latent growth curve models for evaluating individual

Longitudinal Data Analysis Book

Longitudinal Data Analysis


  • Author : Donald Hedeker
  • Publisher : John Wiley & Sons
  • Release Date : 2006-05-12
  • Genre: Mathematics
  • Pages : 360
  • ISBN 10 : 9780470036471

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Longitudinal Data Analysis Excerpt :

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.

Advances in Longitudinal Data Methods in Applied Economic Research Book

Advances in Longitudinal Data Methods in Applied Economic Research


  • Author : Nicholas Tsounis
  • Publisher : Springer Nature
  • Release Date : 2021-05-02
  • Genre: Business & Economics
  • Pages : 552
  • ISBN 10 : 9783030639709

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Advances in Longitudinal Data Methods in Applied Economic Research Excerpt :

This volume presents new methods and applications in longitudinal data estimation methodology in applied economic. Featuring selected papers from the 2020 the International Conference on Applied Economics (ICOAE 2020) held virtually due to the corona virus pandemic, this book examines interdisciplinary topics such as financial economics, international economics, agricultural economics, marketing and management. Country specific case studies are also featured.

Longitudinal Data Analysis for the Behavioral Sciences Using R Book

Longitudinal Data Analysis for the Behavioral Sciences Using R


  • Author : Jeffrey D. Long
  • Publisher : SAGE
  • Release Date : 2012
  • Genre: Social Science
  • Pages : 569
  • ISBN 10 : 9781412982689

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Longitudinal Data Analysis for the Behavioral Sciences Using R Excerpt :

This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time.

Nonparametric Regression Methods for Longitudinal Data Analysis Book

Nonparametric Regression Methods for Longitudinal Data Analysis


  • Author : Hulin Wu
  • Publisher : John Wiley & Sons
  • Release Date : 2006-05-12
  • Genre: Mathematics
  • Pages : 384
  • ISBN 10 : 9780470009666

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Nonparametric Regression Methods for Longitudinal Data Analysis Excerpt :

Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented. With its logical structure and organization, beginning with basic principles, the text develops the foundation needed to master advanced principles and applications. Following a brief overview, data examples from biomedical research studies are presented and point to the need for nonparametric regression analysis approaches. Next, the authors review mixed-effects models and nonparametric regression models, which are the two key building blocks of the proposed modeling techniques. The core section of the book consists of four chapters dedicated to the major nonparametric regression methods: local polynomial, regression spline, smoothing spline, and penalized spline. The next two chapters extend these modeling techniques to semiparametric and time varying coefficient models for longitudinal data analysis. The final chapter examines discrete longitudinal data modeling and analysis. Each chapter concludes with a summary that highlights key points and also provides bibliographic notes that point to additional sources for further study. Examples of data analysis from biomedical research are used to illustrate the methodologies contained throughout the book. Technical proofs are presented in separate appendices. With its focus on solving problems, this is an excellent textbook for upper-level undergraduate and graduate courses in longitudinal data analysis. It is also recommended as a reference for biostatisticians and other theoretical and applied research statisticians with an interest in lo

Longitudinal Data Analysis Book

Longitudinal Data Analysis


  • Author : Toon Taris
  • Publisher : SAGE
  • Release Date : 2000-11-13
  • Genre: Social Science
  • Pages : 182
  • ISBN 10 : 0761960279

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Longitudinal Data Analysis Excerpt :

This accessible introduction to the theory and practice of longitudinal research takes the reader through the strengths and weaknesses of this kind of research, making clear: how to design a longitudinal study; how to collect data most effectively; how to make the best use of statistical techniques; and how to interpret results. Although the book provides a broad overview of the field, the focus is always on the practical issues arising out of longitudinal research. This book supplies the student with all that they need to get started and acts as a manual for dealing with opportunities and pitfalls. It is the ideal primer for this growing area of social research.

Longitudinal and Panel Data Book

Longitudinal and Panel Data


  • Author : Edward W. Frees
  • Publisher : Cambridge University Press
  • Release Date : 2004-08-16
  • Genre: Business & Economics
  • Pages : 492
  • ISBN 10 : 0521535387

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Longitudinal and Panel Data Excerpt :

An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

Analysis of Longitudinal Data with Example Book

Analysis of Longitudinal Data with Example


  • Author : You-Gan Wang
  • Publisher : CRC Press
  • Release Date : 2022-01-28
  • Genre: Mathematics
  • Pages : 213
  • ISBN 10 : 9781351649674

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Analysis of Longitudinal Data with Example Excerpt :

Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas. Key Features: •Includes the most up-to-date methods •Use simple examples to demonstrate complex methods •Uses real data from a number of areas •Examples utilize R code

Nonparametric Regression Analysis of Longitudinal Data Book

Nonparametric Regression Analysis of Longitudinal Data


  • Author : Hans-Georg Müller
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Mathematics
  • Pages : 369
  • ISBN 10 : 9781461239260

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Nonparametric Regression Analysis of Longitudinal Data Excerpt :

This monograph reviews some of the work that has been done for longitudi nal data in the rapidly expanding field of nonparametric regression. The aim is to give the reader an impression of the basic mathematical tools that have been applied, and also to provide intuition about the methods and applications. Applications to the analysis of longitudinal studies are emphasized to encourage the non-specialist and applied statistician to try these methods out. To facilitate this, FORTRAN programs are provided which carry out some of the procedures described in the text. The emphasis of most research work so far has been on the theoretical aspects of nonparametric regression. It is my hope that these techniques will gain a firm place in the repertoire of applied statisticians who realize the large potential for convincing applications and the need to use these techniques concurrently with parametric regression. This text evolved during a set of lectures given by the author at the Division of Statistics at the University of California, Davis in Fall 1986 and is based on the author's Habilitationsschrift submitted to the University of Marburg in Spring 1985 as well as on published and unpublished work. Completeness is not attempted, neither in the text nor in the references. The following persons have been particularly generous in sharing research or giving advice: Th. Gasser, P. Ihm, Y. P. Mack, V. Mammi tzsch, G . G. Roussas, U. Stadtmuller, W. Stute and R.

Quantitative Longitudinal Data Analysis Book

Quantitative Longitudinal Data Analysis


  • Author : Vernon Gayle
  • Publisher : Bloomsbury Publishing
  • Release Date : 2020-12-10
  • Genre: Reference
  • Pages : 168
  • ISBN 10 : 9781350188860

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Quantitative Longitudinal Data Analysis Excerpt :

First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series. Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.

Applied Longitudinal Data Analysis for Epidemiology Book

Applied Longitudinal Data Analysis for Epidemiology


  • Author : Jos W. R. Twisk
  • Publisher : Cambridge University Press
  • Release Date : 2013-05-09
  • Genre: Medical
  • Pages : 337
  • ISBN 10 : 9781107030039

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Applied Longitudinal Data Analysis for Epidemiology Excerpt :

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

Applied Longitudinal Data Analysis Book
Score: 4
From 4 Ratings

Applied Longitudinal Data Analysis


  • Author : Judith D. Singer
  • Publisher : Oxford University Press
  • Release Date : 2003-03-27
  • Genre: Mathematics
  • Pages : 672
  • ISBN 10 : 0195152964

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Applied Longitudinal Data Analysis Excerpt :

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