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Applied Longitudinal Analysis by Garrett M. Fitzmaurice

Title Applied Longitudinal Analysis
Author Garrett M. Fitzmaurice
Publisher John Wiley & Sons
Release 2012-10-23
Category Mathematics
Total Pages 740
ISBN 1118551796
Language English, Spanish, and French
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Book Summary:

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.

Title Applied Longitudinal Data Analysis
Author Judith D. Singer
Publisher Oxford University Press
Release 2003-03-27
Category Mathematics
Total Pages 644
ISBN 0195152964
Language English, Spanish, and French
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Book Summary:

The investigation of change has fascinated researchers for generations, and to do it well, they must have longitudinal data. This text instructs readers in the methodologies at their disposal, including both individual growth modelling and survival analysis.

Applied Longitudinal Analysis by Garrett M. Fitzmaurice

Title Applied Longitudinal Analysis
Author Garrett M. Fitzmaurice
Publisher Createspace Independent Publishing Platform
Release 2017-07-26
Category
Total Pages 44
ISBN 9781973896975
Language English, Spanish, and French
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Applied Longitudinal Analysis By Garrett M. Fitzmaurice

Title Applied Longitudinal Data Analysis for Epidemiology
Author Jos W. R. Twisk
Publisher Cambridge University Press
Release 2013-05-09
Category Medical
Total Pages
ISBN 110706760X
Language English, Spanish, and French
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Book Summary:

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.

Title Methods and Applications of Longitudinal Data Analysis
Author Xian Liu
Publisher Elsevier
Release 2015-09-11
Category Mathematics
Total Pages 530
ISBN 0128014822
Language English, Spanish, and French
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Book Summary:

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.

Applied Longitudinal Analysis by Laird N Fitzmaurice G (Ware J.)

Title Applied Longitudinal Analysis
Author Laird N Fitzmaurice G (Ware J.)
Publisher
Release
Category
Total Pages
ISBN
Language English, Spanish, and French
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Book Summary:

Title Applied Longitudinal Data Analysis
Author Judith D. Singer
Publisher
Release 2000*
Category Planning
Total Pages 129
ISBN
Language English, Spanish, and French
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Book Summary:

Title Applied Longitudinal Data Analysis Modeling Change and Event Occurrence
Author Judith D. Singer
Publisher Oxford University Press
Release 2003-03-19
Category Medical
Total Pages 672
ISBN 9780199882403
Language English, Spanish, and French
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Book Summary:

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: DT Downloadable data sets DT Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more DT Additional material for data analysis

Title Applied longitudinal Data Analysis
Author Marie Davidian
Publisher Springer
Release 2010-11-16
Category Mathematics
Total Pages
ISBN 9780387564265
Language English, Spanish, and French
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Book Summary:

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.

Title Analysis of Longitudinal Data
Author Peter Diggle
Publisher Oxford University Press
Release 2013-03-14
Category Language Arts & Disciplines
Total Pages 400
ISBN 0199676755
Language English, Spanish, and French
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Book Summary:

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.

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