Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Applied Mixed Model Analysis : A Practical Guide, EPUB eBook

Applied Mixed Model Analysis : A Practical Guide EPUB

Part of the Practical Guides to Biostatistics and Epidemiology series

EPUB

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

This practical book is designed for applied researchers who want to use mixed models with their data.

It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables.

Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions.

All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided.

All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods.

Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.

Information

Other Formats

Information

Also in the Practical Guides to Biostatistics and Epidemiology series  |  View all