Analysis of Longitudinal Data and millions of other books are available for Amazon . of Longitudinal Data (Oxford Statistical Science Series) by Peter Diggle. : Analysis of Longitudinal Data (): Peter J. Diggle, Kung-Yee Liang, Scott L. Zeger: Books. Longitudinal Data Analysis. Peter Diggle Time series and longitudinal data: similarities/differences. 2. Linear models: Analysis of Bailrigg temperature data.

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Analysis of longitudinal data – Peter Diggle, Kung-Yee Liang, Scott L. Zeger – Google Books

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Dispatched from the UK in 2 business days When will my order arrive? Home Contact Us Help Free delivery worldwide. Analysis of Longitudinal Data. Description The first edition of Analysis for Longitudinal Data has become a classic.

Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences.

The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general analyssis models for discrete data, and models and methods for handling data and missing values.


Analysis of Longitudinal Data

Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author’s results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.

The Best Books of Check out the top books of the year on our page Best Books of Looking for beautiful books? Visit our Beautiful Books page and find lovely books for kids, o lovers and more. Other books in this series. Analysis of Longitudinal Data Peter J. Saddlepoint Approximations Jens L. Procrustes Problems Garmt B. Statistical Modelling in R Murray Aitkin.

Celebrating Statistics Nanny Wermuth. Smooth Tests of Goodness of Fit D. Table of contents 1. Design considerations ; 3. Exploring longitudinal data ; 4.

General linear models ; 5. Longitudnal models for covariance structure ; 6.

Analysis of variance methods ; 7. Generalized linear models for longitudinal data ; 8.

Marginal models ; 9. Random effects models ; Transition models ; Likelihood-based methods for categorical data ; Time-dependent covariates ; Missing values in longitudinal data ; Additional topics ; Appendix ; Bibliography ; Index show more.


Review quote Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting The book is readable and well written It belongs to the possession of every statistician who encounters longitudinal data. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated.

Analysis of Longitudinal Data : Peter J. Diggle :

If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful. Book ratings by Goodreads. Goodreads is the world’s largest site for readers with over 50 million reviews. We’re featuring millions of their reader ratings on our book pages to help you find your new favourite book.