A robust mixed linear model analysis for longitudinal data |
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Authors: | Gill P S |
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Institution: | Department of Mathematics and Statistics, Okanagan University College, Kelowna BC, Canada. pgill@okanagan.bc.ca |
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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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