Systematic treatment of joint models and dispersion models enables analysis of diverse correlated data types
Covers GEE, QIF, and mixed effects models for flexible statistical approaches
Includes joint regression analysis with Gaussian copulas and state space models for longitudinal data
Provides real-world data examples and software usage tips for practical application
evolved from lecture notes, suitable as a graduate textbook for advanced topics
Summarized by Shop
Thisbook,likemanyotherbooks,wasdeliveredundertremendousinspiration and encouragement from my teachers, research collaborators, and students. My interest in longitudinal data analysis began with a short course taught jointly by K. Y. Liang and S. L. Zeger at the Statistical Society of Canada Conference in Acadia University, Nova Scotia, in