Since the pioneering work by Koenker and Bassett (1978), quantile regressionmodels and its applications have become increasingly popular and important forresearch in many areas. In this paper, a random effects ordinal quantileregression model is proposed for analysis of longitudinal data with ordinaloutcome of interest. An efficient Gibbs sampling algorithm was derived forfitting the model to the data based on a location scale mixture representationof the skewed double exponential distribution. The proposed approach isillustrated using simulated data and a real data example. This is the firstwork to discuss quantile regression for analysis of longitudinal data withordinal outcome.
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