Applied Longitudinal Analysis Garrett M. Fitzmaurice is a scientific reference work on methods for analyzing longitudinal data. This study book offers practical applications and advanced techniques that are relevant to researchers and professionals in healthcare, social sciences, and related disciplines.
The book covers various important methods, including fixed effects and mixed effects models, marginal models, generalized estimating equations, and techniques for dealing with missing data. In addition to theoretical foundations, emphasis is placed on applicability through examples from the health sciences.
Features
- Comprehensive treatment of longitudinal data and advanced analysis methods
- Practical examples and new problem sets per chapter
- Collaboration between leading researchers with extensive experience
- Includes six new chapters with current developments in the field
- Available with supporting materials in SAS, Stata and R
Product details
- Author: Garrett M. Fitzmaurice (Harvard University)
- Subject: Probability and statistics
- Series: Wiley Series in Probability and Statistics
- Publisher: John Wiley & Sons Inc
- Publication date: 2011-09-30
- Number of pages: 752
- ISBN: 9780470380277
- BISAC: MATHEMATICS / Probability & Statistics / General