Applied Longitudinal Analysis

I first bought this book 10 years ago for a grad school course on longitudinal analysis. I now work as a research biostatistician, often designing and analyzing studies with longitudinal follow-up. I have read and re-read sections of this book several times, and it has served as an indispensable reference manual throughout my career.The following sections have been particularly useful: section 5.7 on methods of adjusting for baseline responses, chapter 8 on mixed effects models, chapter 9 on fixed vs. random effects models, chapter 13 on generalized estimating equations, chapter 14 on generalized linear mixed effects models, and the chapters on handling missing data.

It's important for researchers to know how to treat data form repeated observations on the same set of individuals.

I am using this book for a graduate course in longitudinal analysis. So far after reading 5 chapters, I think it's well written and can be understandable by a wide audience.

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The binding of this book is absolutely unacceptable for one being sold for more than $100. Inside a hardcover, SEPARATELY CUTTED pages (no 64-page blocks!) are united by some sort of glue. This book will start to disintagrate to a pile of leafs after few days of reading. That is not the book for which one pays >$100.

The authors have done a masterful job. They've created a book that is accessable to those without a strong mathematics background, but still interesting to those with such a background. The scope is broad, yet one does not feel "shortchanged" on any topic covered. They cover both linear and generalized linear models, with and without mixed effects. Part IV contains what the authors call advanced topics such as missing data and multilevel models and their lucidity, given such brief treatment is astonishing.

Used in a longitudinal analysis course, and I have to say this book presents the concepts in clear and structured manners. Very useful for learning the material alongside lectures, and could likely even be used alone to help improve skill and understanding of longitudinal analysis. I would highly recommend!

It can be hard to find stats textbooks that strike the right balance between being clearly written and technically concise. This is one such book. Based on my personal experience, it has been very readable and accessible. The language is precise but not overloaded with jargon.I recommend it.

A must.