Analysis of Longitudinal Data

by Peter J. Diggle

The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.

Genres: Textbooks

398 pages, Hardcover

First published January 1, 1994

Reviews

[David · Rating 3 out of 5]

Despite Diggle's distinguished reputation, I have never found this book particularly helpful or illuminating. This may reflect the fact that most of the data I dealt with were not particularly amenable to the GEE approach.

[Anna Hepworth]

I've classified this as abandoned/unfinished as part of my 2018 amnesty on trying to finish everything I've started. It isn't a commentary on this book, but more that I have over 30 books 'currently reading' and I want to get that down to two (one fiction, one non-fiction). I'll be putting this disclaimer on a number of books :(

Technically, this probably isn't 'unfinished' because I've read most/all of the book in the past, before I started recording things here, but the plan had been to read it straight through.