Longitudinal Data Analysis: A Handbook of Modern Statistical Methods

Author: Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs

Discription:
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data.

After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines.
Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

应该是有人发过，不过我还是鼓励下Longitudinal Data的内容

主要是自己整天在sas这个版里面转悠。别的基本上很少去，就贴着了。如果版主或者管理员觉得地方不好，就帮我挪个窝吧。