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Applied Longitudinal Analysis
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  • Wiley

More About This Title Applied Longitudinal Analysis

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GARRETT M. FITZMAURICE, ScD, is Associate Professor of Biostatistics at the Harvard School of Public Health.

NAN M. LAIRD, PhD, is Professor of Biostatistics at the Harvard School of Public Health.

JAMES H. WARE, PhD, is Frederick Mosteller Professor of Biostatistics and Dean for Academic Affairs at the Harvard School of Public Health.
All three authors are Fellows of the American Statistical Association and members of the International Statistical Institute.
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Preface.

Acknowledgments.

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 Effects Models.

9. Residual Analyses and Diagnostics.

PART III: GENERALIZED LINEAR MODELS FOR LONGITUDINAL DATA.

10. Review of Generalized Linear Models.

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

12. Generalized Linear Mixed Effects Models.

13. Contrasting Marginal and Mixed Effects Models.

PART IV: ADVANCED TOPICS FOR LONGITUDINAL AND CLUSTERED DATA.

14. Missing Data and Dropout.

15. Some Aspects of the Design of Longitudinal Studies.

16. Repeated Measures and Related Designs.

17. Multilevel Models.

Appendix A: Gentle Introduction to Vectors and Matrices.

Appendix B: Properties of Expectations and Variances.

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

References.

Index.

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"Every statistician should have this well written book." (Journal of Statistical Computation and Simulation, March 2006)

"This [book on longitudinal analysis]...is certainly my favorite. This is a large and comprehensive book with perfect balance between development of methods and application of methodology." (Technometrics, May 2005)

"...should be on the shelf of everyone interested in acquiring a modeler's or practitioner's perspective on longitudinal data analysis." (Journal of the American Statistical Association, June 2005)

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