×
![]( "Buchcover ISBN 9781118551790")
„The text is well-organized and clearly written. It isaccessible to researchers with varying levels of statisticalexpertise, with plenty of data examples that make reading andlearning enjoyable. I recommend it to biostatisticians as well asto clinicians and other health researchers who may not have muchstatistical training . . . Applied Longitudinal Analysisisgenerally my first recommendation when asked for a valuableresource in the field due to the breadth of topics covered and itspractical utility.“ (Journal of BiopharmaceuticalStatistics, 1 January 2013)
„The book also serves as a valuable reference forresearchers and professionals in the medical, public health, andpharmaceutical fields, as well as those in social and behavioralsciences who would like to learn more about analysing longitudinaldata.“ (Zentralblatt MATH, 2012)„This book provides very broad coverage of modern methods forlongitudinal data analysis from an applied perspective ... I highlyrecommend this book to statisticians and quantitative researcherswho encounter longitudinal and/or clustered data. In addition, Ithink the book would be an excellent choice as the primary textbookin an applied longitudinal data course.“ (Journal ofBiopharmaceutical Statistics, 2013)
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.
„. . . [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.
