Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

The analysis of serial measurements obtained in longitudinal studies plays an increasingly prominent role in applied research. The last few years have seen the development of many new techniques for carrying out analyses, including computer software. These methods can be used in a variety of standard problems, including repeated measures and cross-over designs, as well as growth curve analyses. We review these new methods, their application, and available computer packages. Data from a longitudinal study of lung function is used to illustrate the methods.

Original publication

DOI

10.1177/096228029200100302

Type

Journal article

Journal

Statistical methods in medical research

Publication Date

01/1992

Volume

1

Pages

225 - 247

Addresses

Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115.

Keywords

Lung, Humans, Body Weight, Respiratory Function Tests, Body Height, Likelihood Functions, Linear Models, Longitudinal Studies, Mathematical Computing, Software, Adolescent, Child