Ontology highlight
ABSTRACT:
SUBMITTER: Galarza CE
PROVIDER: S-EPMC5667718 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Galarza Christian E CE Lachos Victor H VH Bandyopadhyay Dipankar D
Statistics and its interface 20170101 3
This paper develops a likelihood-based approach to analyze quantile regression (QR) models for continuous longitudinal data via the asymmetric Laplace distribution (ALD). Compared to the conventional mean regression approach, QR can characterize the entire conditional distribution of the outcome variable and is more robust to the presence of outliers and misspecification of the error distribution. Exploiting the nice hierarchical representation of the ALD, our classical approach follows a Stocha ...[more]