✦ LIBER ✦

A robust mixed linear model analysis for longitudinal data

✍ Scribed by Paramjit S. Gill

Publisher: John Wiley and Sons
Year: 2000
Tongue: English
Weight: 124 KB
Volume: 19
Category: Article
ISSN: 0277-6715
DOI: 10.1002/(sici)1097-0258(20000415)19:7<975::aid-sim381>3.0.co;2-9

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✦ Synopsis

This paper describes robust procedures for estimating parameters of a mixed e!ects linear model as applied to longitudinal data. In addition to "xed regression parameters, the model incorporates random subject e!ects to accommodate between-subjects variability and autocorrelation for within-subject variability. Robust empirical Bayesian estimation of subject e!ects is brie#y discussed. As an illustration, the procedures are applied to data from a multiple sclerosis clinical trial.

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