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Peter Bruce. Peter L. David J. John Haigh. Brady T. Garrett Fitzmaurice. Ruey S. Noel Cressie. Patrick Billingsley.

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Popular Features. New Releases. Applied Longitudinal Analysis. Free delivery worldwide. Expected to be delivered to Germany by Christmas. Description Praise for the First Edition " The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences.

The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS, Stata, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material.

With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.

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  • ISBN 13: 9780471214878.

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Linear Mixed Models Brady T. Other books in this series. Applied Longitudinal Analysis Garrett Fitzmaurice. Probability and Measure Patrick Billingsley. Statistics for Experimenters George E. Markov Decision Processes Martin L. Approximate Dynamic Programming Warren B.

Empirical Asset Pricing Turan G. Sampling Steven K. Bayesian Statistics and Marketing Peter E. Random Data Julius S. Cluster Analysis Brian S. Back cover copy Praise for the First Edition. The Second Edition features six newly added 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 effects models Multiple imputation and inverse probability weighted methods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications to data sets drawn from the health sciences.

Introduction to Longitudinal and Clustered Data 1. Longitudinal and Clustered Data 1 2. Longitudinal Data. Basic Concepts 19 Part II. Linear Models for Longitudinal Continuous Data 3. Overview of Linear Models for Longitudinal Data 49 4. Estimation and Statistical Inference 89 5. Modelling the Mean: Analyzing Response Profiles 6.

Modelling the Mean: Parametric Curves 7. Modelling the Covariance 8. Linear Mixed Effect Models 9. By continuing you agree to the use of cookies. Download full text in PDF Download.

Applied Longitudinal Analysis

Procedia Computer Science Volume , , Pages Monirul Islam a. Under a Creative Commons license. Abstract Intensive longitudinal and cluster-correlated data ILCCD can be generated in any situation where numerical or categorical characteristics of multiple individuals or study units are observed and measured at tens, hundreds, or thousands of occasions. Keywords longitudinal data analysis.