Article,

An example of using mixed models and PROC MIXED for longitudinal data

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J Biopharm Stat, 7 (4): 481-500 (November 1997)
DOI: 10.1080/10543409708835203

Abstract

Longitudinal data, or data that are repeated measurements on various subjects across time, are commonplace in biostatistical studies. The general linear mixed model is a useful statistical tool for analyzing such data and drawing meaningful inferences about them. This paper discusses some of the most common mixed models and fits them to a prototypical example involving repeated measures on blood pressure. Computer implementation is via the MIXED procedure in the SAS System, and code descriptions and output interpretations accompany the example.

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