Marginal quantile regression for dependent data with a working odds-ratio matrix.
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DOI: 10.1093/biostatistics/kxx052
Abstract: Dependent data arise frequently in applied research and several approaches to adjusting for the dependence among observations have been proposed in quantile regression. Cluster bootstrap is generally inefficient and computationally demanding, especially when the number… read more here.
Keywords: quantile regression; regression; dependent data; data working ... See more keywords