Applied Longitudinal Data Analysis

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Applied Longitudinal Data Analysis

Applied Longitudinal Data Analysis
Author: Judith D. Singer
Publisher: Oxford University Press
ISBN: 9780195152968
Size: 28.52 MB
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By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.
Applied Longitudinal Data Analysis
Language: en
Pages: 644
Authors: Judith D. Singer, John B. Willett, Charles William Eliot Professor John B Willett, John B.. Willett
Categories: Mathematics
Type: BOOK - Published: 2003-03-27 - Publisher: Oxford University Press
By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.
Applied Longitudinal Analysis
Language: en
Pages: 740
Authors: Garrett M. Fitzmaurice, Nan M. Laird, James H. Ware
Categories: Mathematics
Type: BOOK - Published: 2012-10-23 - Publisher: John Wiley & Sons
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,
Applied Longitudinal Data Analysis
Language: en
Pages: 504
Authors: Marie Davidian
Categories: Mathematics
Type: BOOK - Published: 2010-08-01 - Publisher: Springer Verlag
The goal of this book is to provide an overview of statistical models and methods that are useful in the analysis of longitudinal data; that is, data in the form of repeated measurements on the same experimental unit over time. The intended audience is a combination of non- statistics graduate students who have taken an applied methods course covering linear regression and Analysis of Variance and masters-level statistics students looking for an applied intro course.
Exam Prep for: Applied Longitudinal Data Analysis for ...
Language: en
Pages:
Authors: Marie Davidian
Categories: Mathematics
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Books about Exam Prep for: Applied Longitudinal Data Analysis for ...
Applied Longitudinal Data Analysis for Epidemiology
Language: en
Pages:
Authors: Jos W. R. Twisk
Categories: Medical
Type: BOOK - Published: 2013-05-09 - Publisher: Cambridge University Press
This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies.
Methods and Applications of Longitudinal Data Analysis
Language: en
Pages: 530
Authors: Xian Liu
Categories: Mathematics
Type: BOOK - Published: 2015-09-11 - Publisher: Elsevier
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
Methode und Methodologie quantitativer Textanalyse
Language: de
Pages: 358
Authors: Jan Rasmus Riebling
Categories: Social Science
Type: BOOK - Published: 2019-05-27 - Publisher: University of Bamberg Press
Books about Methode und Methodologie quantitativer Textanalyse
Linear Mixed Models for Longitudinal Data
Language: en
Pages: 570
Authors: Geert Verbeke, Geert Molenberghs
Categories: Mathematics
Type: BOOK - Published: 2009-04-28 - Publisher: Springer Science & Business Media
This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.
Modeling Longitudinal Data
Language: en
Pages: 432
Authors: Robert E. Weiss
Categories: Medical
Type: BOOK - Published: 2006-12-06 - Publisher: Springer Science & Business Media
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.
Longitudinal Data Analysis
Language: en
Pages: 448
Authors: 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
Categories: Analysis of variance
Type: BOOK - Published: 1998-10-26 - Publisher: SAGE
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.