Applied Longitudinal Analysis 2nd Edition – Digital Instant Dowload.

Product details:

• ISBN-10 ‏ : ‎ 0470380276
• ISBN-13 ‏ : ‎ 978-0470380277
• Author: Garrett M. Fitzmaurice, ScD

Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. 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.

Table contents:

Part I. 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 105

6. Modelling the Mean: Parametric Curves 143

7. Modelling the Covariance 165

8. Linear Mixed Effect Models 189

9. Fixed Effects versus Random Effects Models 241

10. Residual Analyses and Diagnostics 265

Part III. Generalized Linear Models for Longitudinal Data

11. Review of Generalized Linear Models 291

12. Marginal Models: Introduction and Overview 341

13. Marginal Models: Generalized Estimating Equations (GEE) 353

14. Generalized Linear Mixed Effects Models 395

15. Generalized Linear Mixed Effects Models: Approximate Methods of Estimation 441

16. Contrasting Marginal and Mixed Effects Models 473

Part IV. Missing Data and Dropout

17. Missing Data and Dropout: Overview of Concepts and Methods 489

18. Missing Data and Dropout: Multiple Imputation and Weighting Methods 515

Part V. Advanced Topics for Longitudinal and Clustered Data

19. Smoothing Longitudinal Data: Semiparametric Regression Models 553

20. Sample Size and Power 581

21. Repeated Measures and Related Designs 611

22. Multilevel Models 627

Appendix A. Gentle Introduction to Vectors and Matrices 655

Appendix B. Properties of Expectations and Variance 665

Appendix C. Critical Points for a 50:50 Mixture of Chi-Squared Distributions 669

References 671

Index 695