# Methods and Applications of Longitudinal Data Analysis

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## Methods and Applications of Longitudinal Data Analysis

Author | : Xian Liu |

Publsiher | : Elsevier |

Total Pages | : 530 |

Release | : 2015-09-11 |

ISBN 10 | : 0128014822 |

ISBN 13 | : 9780128014820 |

Language | : EN, FR, DE, ES & NL |

**Methods and Applications of Longitudinal Data Analysis Book Review:**

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

Author | : Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs |

Publsiher | : CRC Press |

Total Pages | : 632 |

Release | : 2008-08-11 |

ISBN 10 | : 9781420011579 |

ISBN 13 | : 142001157X |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis Book Review:**

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

Author | : Jason Newsom,Richard N. Jones,Scott M. Hofer |

Publsiher | : Routledge |

Total Pages | : 405 |

Release | : 2012-05-22 |

ISBN 10 | : 1136705473 |

ISBN 13 | : 9781136705472 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis Book Review:**

First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

## Longitudinal Data Analysis

Author | : Donald Hedeker,Robert D. Gibbons |

Publsiher | : John Wiley & Sons |

Total Pages | : 360 |

Release | : 2006-05-12 |

ISBN 10 | : 0470036478 |

ISBN 13 | : 9780470036471 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis Book Review:**

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.

## Practical Longitudinal Data Analysis

Author | : David J. Hand |

Publsiher | : Routledge |

Total Pages | : 232 |

Release | : 2017-10-06 |

ISBN 10 | : 1351422669 |

ISBN 13 | : 9781351422666 |

Language | : EN, FR, DE, ES & NL |

**Practical Longitudinal Data Analysis Book Review:**

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.

## Longitudinal Data Analysis

Author | : Mark D. Uncles |

Publsiher | : Taylor & Francis |

Total Pages | : 152 |

Release | : 1988-01 |

ISBN 10 | : 9780850861297 |

ISBN 13 | : 0850861292 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis Book Review:**

## Longitudinal Data Analysis

Author | : Catrien C J H Bijleveld,Professor Catrien C J H Bijleveld,Leo van der Kamp,John Van Der Kamp,Professor Leo J Th Van Der Kamp,Ab Mooijaart,Willem A van der Kloot,Rien van der Leeden,Eeke Van Der Burg |

Publsiher | : SAGE Publications Limited |

Total Pages | : 425 |

Release | : 1998 |

ISBN 10 | : |

ISBN 13 | : UOM:39015046000561 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis Book Review:**

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 co

## Nonparametric Regression Methods for Longitudinal Data Analysis

Author | : Hulin Wu,Jin-Ting Zhang |

Publsiher | : John Wiley & Sons |

Total Pages | : 384 |

Release | : 2006-05-12 |

ISBN 10 | : 0470009667 |

ISBN 13 | : 9780470009666 |

Language | : EN, FR, DE, ES & NL |

**Nonparametric Regression Methods for Longitudinal Data Analysis Book Review:**

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 longitudinal data analysis. Not only do readers gain an understanding of the principles of various nonparametric regression methods, but they also gain a practical understanding of how to use the methods to tackle real-world problems.

## Longitudinal Data Analysis for the Behavioral Sciences Using R

Author | : Jeffrey D. Long |

Publsiher | : SAGE |

Total Pages | : 542 |

Release | : 2011-10-31 |

ISBN 10 | : 1412982685 |

ISBN 13 | : 9781412982689 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis for the Behavioral Sciences Using R Book Review:**

This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.

## Longitudinal and Panel Data

Author | : Edward W. Frees,Frees |

Publsiher | : Cambridge University Press |

Total Pages | : 467 |

Release | : 2004-08-16 |

ISBN 10 | : 9780521535380 |

ISBN 13 | : 0521535387 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal and Panel Data Book Review:**

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

## Applied Longitudinal Analysis

Author | : Garrett M. Fitzmaurice,Nan M. Laird,James H. Ware |

Publsiher | : John Wiley & Sons |

Total Pages | : 740 |

Release | : 2012-10-23 |

ISBN 10 | : 1118551796 |

ISBN 13 | : 9781118551790 |

Language | : EN, FR, DE, ES & NL |

**Applied Longitudinal Analysis Book Review:**

Praise for the First Edition ". . . [this book] should be on the shelf of everyone interestedin . . . longitudinal data analysis." —Journal of the American Statistical Association Features newly developed topics and applications of theanalysis of longitudinal data Applied Longitudinal Analysis, Second Edition presentsmodern methods for analyzing data from longitudinal studies and nowfeatures the latest state-of-the-art techniques. The bookemphasizes practical, rather than theoretical, aspects of methodsfor the analysis of diverse types of longitudinal data that can beapplied across various fields of study, from the health and medicalsciences to the social and behavioral sciences. The authors incorporate their extensive academic and researchexperience along with various updates that have been made inresponse to reader feedback. The Second Edition features six newlyadded chapters that explore topics currently evolving in the field,including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effectsmodels Multiple imputation and inverse probability weightedmethods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications todata sets drawn from the health sciences. New problem sets havebeen added to many chapters, and a related website features sampleprograms and computer output using SAS, Stata, and R, as well asdata sets and supplemental slides to facilitate a completeunderstanding of the material. With its strong emphasis on multidisciplinary applications andthe interpretation of results, Applied LongitudinalAnalysis, Second Edition is an excellent book for courses onstatistics in the health and medical sciences at theupper-undergraduate and graduate levels. The book also serves as avaluable reference for researchers and professionals in themedical, public health, and pharmaceutical fields as well as thosein social and behavioral sciences who would like to learn moreabout analyzing longitudinal data.

## Advances in Longitudinal Data Methods in Applied Economic Research

Author | : Nicholas Tsounis,Aspasia Vlachvei |

Publsiher | : Springer |

Total Pages | : 552 |

Release | : 2021-04-01 |

ISBN 10 | : 9783030639693 |

ISBN 13 | : 303063969X |

Language | : EN, FR, DE, ES & NL |

**Advances in Longitudinal Data Methods in Applied Economic Research Book Review:**

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.

## Applied Longitudinal Data Analysis for Epidemiology

Author | : Jos W. R. Twisk |

Publsiher | : Cambridge University Press |

Total Pages | : 321 |

Release | : 2013-05-09 |

ISBN 10 | : 110703003X |

ISBN 13 | : 9781107030039 |

Language | : EN, FR, DE, ES & NL |

**Applied Longitudinal Data Analysis for Epidemiology Book Review:**

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

## What is Quantitative Longitudinal Data Analysis

Author | : Vernon Gayle,Paul Lambert |

Publsiher | : Bloomsbury Publishing |

Total Pages | : 168 |

Release | : 2018-02-22 |

ISBN 10 | : 1472515412 |

ISBN 13 | : 9781472515414 |

Language | : EN, FR, DE, ES & NL |

**What is Quantitative Longitudinal Data Analysis Book Review:**

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. The book is designed for postgraduates and researchers across the social sciences considering the use of quantitative longitudinal data resources in their research. It will also be an excellent text for undergraduate and postgraduate courses on advanced quantitative methods.

## Analysis of Longitudinal Data

Author | : Peter Diggle,Patrick Heagerty,Kung-Yee Liang,Scott Zeger |

Publsiher | : Oxford University Press |

Total Pages | : 400 |

Release | : 2013-03-14 |

ISBN 10 | : 0199676755 |

ISBN 13 | : 9780199676750 |

Language | : EN, FR, DE, ES & NL |

**Analysis of Longitudinal Data Book Review:**

This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

## Longitudinal Analysis

Author | : Lesa Hoffman |

Publsiher | : Routledge |

Total Pages | : 626 |

Release | : 2015-01-30 |

ISBN 10 | : 1317591097 |

ISBN 13 | : 9781317591092 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Analysis Book Review:**

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. Written for non-mathematically-oriented readers, this text features: A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data An emphasis on how the terminology, interpretation, and estimation of familiar general linear models relates to those of more complex models for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers’ understanding of the overall model-building process Sample results sections for each example to provide useful templates for published reports Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data The book opens with the building blocks of longitudinal analysis—general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data. Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book’s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.

## Modeling Longitudinal Data

Author | : Robert E. Weiss |

Publsiher | : Springer Science & Business Media |

Total Pages | : 432 |

Release | : 2006-12-06 |

ISBN 10 | : 0387283145 |

ISBN 13 | : 9780387283142 |

Language | : EN, FR, DE, ES & NL |

**Modeling Longitudinal Data Book Review:**

The book features many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material. Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.

## Nonparametric Regression Analysis of Longitudinal Data

Author | : Hans-Georg Müller |

Publsiher | : Springer Science & Business Media |

Total Pages | : 369 |

Release | : 2012-12-06 |

ISBN 10 | : 1461239265 |

ISBN 13 | : 9781461239260 |

Language | : EN, FR, DE, ES & NL |

**Nonparametric Regression Analysis of Longitudinal Data Book Review:**

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.

## Longitudinal Data Analysis

Author | : Toon Taris |

Publsiher | : SAGE |

Total Pages | : 163 |

Release | : 2000-11-13 |

ISBN 10 | : 9780761960270 |

ISBN 13 | : 0761960279 |

Language | : EN, FR, DE, ES & NL |

**Longitudinal Data Analysis Book Review:**

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.

## Analysis of Longitudinal Data

Author | : Peter Diggle,Patrick Heagerty,Kung-Yee Liang,Scott Zeger |

Publsiher | : OUP Oxford |

Total Pages | : 400 |

Release | : 2013-03-14 |

ISBN 10 | : 0191664332 |

ISBN 13 | : 9780191664335 |

Language | : EN, FR, DE, ES & NL |

**Analysis of Longitudinal Data Book Review:**

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.