(0) items

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
Applied Longitudinal Analysis,9780470380277
This item qualifies for

Your order must be $59 or more, you must select US Postal Service Shipping as your shipping preference, and the "Group my items into as few shipments as possible" option when you place your order.

Bulk sales, PO's, Marketplace Items, eBooks, Apparel, and DVDs not included.

Applied Longitudinal Analysis



by ; ;
Pub. Date:
List Price: $148.26

Rent Textbook


Buy Used Textbook

In Stock Usually Ships in 24-48 Hours

Buy New Textbook

Usually Ships in 3-4 Business Days


We're Sorry
Not Available

More New and Used
from Private Sellers
Starting at $65.13

Questions About This Book?

Why should I rent this book?

Renting is easy, fast, and cheap! Renting from can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.

How do rental returns work?

Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!

What version or edition is this?

This is the 2nd edition with a publication date of 8/30/2011.

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
  • The Used copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself.


Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. Thus, the improved Second Edition of Applied Longitudinal Analysis features many additions and revisions based on the feedback of readers, making it the go-to reference for applied use in public health, epidemiology, and pharmaceutical sciences.

Author Biography

Garrett M. Fitzmaurice, ScD, is Professor in the Department of Biostatistics at the Harvard School of Public Health and Director of the Laboratory for Psychiatric Biostatistics at McLean Hospital. A Fellow of the American Statistical Association and advisor for the Wiley Series in Probability and Statistics, Dr. Fitzmaurice's areas of research interest include statistical methods for analyzing discrete longitudinal data and methods for handling missing data.

Nan M. Laird, PhD, is Professor of Biostatistics at the Harvard School of Public Health. A Fellow of the American Statistical Association and Institute of Mathematical Sciences, she has published extensively in the areas of statistical genetics, longitudinal studies, missing or incomplete data, and analysis of multiple informant data.

James H. Ware, PhD, is Frederick Mosteller Professor of Biostatistics at the Harvard School of Public Health. A Fellow of the American Statistical Association and statistical consultant to the New England Journal of Medicine, he has made significant contributions to the development of statistical methods for the design and analysis of longitudinal studies.

Table of Contents


Preface to First Edition.


Part I. Introduction to Longitudinal and Clustered Data.

1. Longitudinal and Clustered Data.

2. Longitudinal Data. Basic Concepts.

Part II. Linear Models for Longitudinal Continuous Data.

3. Overview of Linear Models for Longitudinal Data.

4. Estimation and Statistical Inference.

5. Modelling the Mean: Analyzing Response Profiles.

6. Modelling the Mean: Parametric Curves.

7. Modelling the Covariance.

8. Linear Mixed Effect Models.

9. Fixed Effects versus Random Effects Models.

10. Residual Analyses and Diagnostics.

Part III. Generalized Linear Models for Longitudinal Data.

11. Review of Generalized Linear Models.

12. Marginal Models: Introduction and Overview.

13. Marginal Models: Generalized Estimating Equations (GEE).

14. Generalized Linear Mixed Effects Models.

15. Generalized Linear Mixed Effects Models: Approximate Methods of Estimation.

16. Contrasting Marginal and Mixed Effects Models.

Part IV. Missing Data and Dropout.

17. Missing Data and Dropout: Overview of Concepts and Methods.

18. Missing Data and Dropout: Multiple Imputation and Weighting Methods.

Part V. Advanced Topics for Longitudinal and Clustered Data.

19. Smoothing Longitudinal Data: Semiparametric Regression Models.

20. Sample Size and Power.

21. Repeated Measures and Related Designs.

22. Multilevel Models.

Appendix A. Gentle Introduction to Vectors and Matrices.

Appendix B. Properties of Expectations and Variance.

Appendix C. Critical Points for a 50:50 Mixture of Chi-Squared Distributions.



Please wait while the item is added to your cart...