PubMed · 10750063
A robust mixed linear model analysis for longitudinal data.
Abstract
This paper describes robust procedures for estimating parameters of a mixed effects linear model as applied to longitudinal data. In addition to fixed regression parameters, the model incorporates random subject effects to accommodate between-subjects variability and autocorrelation for within-subject variability. Robust empirical Bayesian estimation of subject effects is briefly discussed. As an illustration, the procedures are applied to data from a multiple sclerosis clinical trial.
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P S Gill. 2000-04-15. A robust mixed linear model analysis for longitudinal data.. https://doi.org/10.1002/(sici)1097-0258(20000415)19%3A7%3C975%3A%3Aaid-sim381%3E3.0.co%3B2-9
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