Applied Longitudinal Data Analysis

Applied Longitudinal Data Analysis
Title Applied Longitudinal Data Analysis PDF eBook
Author Judith D. Singer
Publisher Oxford University Press
Pages 672
Release 2003-03-27
Genre Mathematics
ISBN 9780195152968

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

Longitudinal Data Analysis

Longitudinal Data Analysis
Title Longitudinal Data Analysis PDF eBook
Author Garrett Fitzmaurice
Publisher CRC Press
Pages 633
Release 2008-08-11
Genre Mathematics
ISBN 142001157X

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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

Applied Longitudinal Data Analysis for Epidemiology

Applied Longitudinal Data Analysis for Epidemiology
Title Applied Longitudinal Data Analysis for Epidemiology PDF eBook
Author Jos W. R. Twisk
Publisher Cambridge University Press
Pages 337
Release 2013-05-09
Genre Medical
ISBN 110703003X

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

Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis
Title Methods and Applications of Longitudinal Data Analysis PDF eBook
Author Xian Liu
Publisher Elsevier
Pages 531
Release 2015-09-01
Genre Mathematics
ISBN 0128014822

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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.

Analysis of Longitudinal Data

Analysis of Longitudinal Data
Title Analysis of Longitudinal Data PDF eBook
Author Peter Diggle
Publisher Oxford University Press, USA
Pages 397
Release 2013-03-14
Genre Language Arts & Disciplines
ISBN 0199676755

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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 Data Analysis for the Behavioral Sciences Using R

Longitudinal Data Analysis for the Behavioral Sciences Using R
Title Longitudinal Data Analysis for the Behavioral Sciences Using R PDF eBook
Author Jeffrey D. Long
Publisher SAGE
Pages 569
Release 2012
Genre Mathematics
ISBN 1412982685

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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.

Longitudinal Data Analysis

Longitudinal Data Analysis
Title Longitudinal Data Analysis PDF eBook
Author Jason Newsom
Publisher Routledge
Pages 407
Release 2013-06-19
Genre Psychology
ISBN 1136705473

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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.