Applied Longitudinal AnalysisJohn Wiley & Sons, 2004 - 506 pages A rigorous, systematic presentation of modern longitudinal analysis Longitudinal studies, employing repeated measurement of subjects over time, play a prominent role in the health and medical sciences as well as in pharmaceutical studies. An important strategy in modern clinical research, they provide valuable insights into both the development and persistence of disease and those factors that can alter the course of disease development. Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a rigorous and comprehensive description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models, including their underlying assumptions and relative merits. The book features:
An accompanying Web site features twenty-five real data sets used throughout the text, in addition to programming statements and selected computer output for the examples. |
Table des matières
Longitudinal and Clustered Data | 1 |
Basic Concepts | 19 |
Linear Models for Longitudinal Continuous Data | 47 |
Estimation and Statistical Inference | 87 |
Analyzing Response Profiles | 103 |
Parametric Curves | 141 |
Modelling the Covariance | 163 |
Linear Mixed Effects Models | 187 |
Generalized Linear Mixed Effects Models | 325 |
Contrasting Marginal and Mixed Effects Models | 359 |
Advanced Topics for Longitudinal and Clustered Data | 373 |
Some Aspects of the Design of Longitudinal Studies | 401 |
Repeated Measures and Related Designs | 425 |
Multilevel Models | 441 |
Appendix A Gentle Introduction to Vectors and Matrices | 469 |
Appendix B Properties of Expectations and Variances | 479 |
Residual Analyses and Diagnostics | 237 |
Review of Generalized Linear Models | 257 |
Generalized Estimating | 291 |
References | 485 |
501 | |