We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
Modelling the distribution of health related quality of life of advancedmelanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression
Health-related quality of life assessment is important in the clinical
evaluation of patients with metastatic disease that may offer useful
information in understanding the clinical effectiveness of a treatment. To
assess if a set of explicative variables impacts on the health-related quality
of life, regression models are routinely adopted. However, the interest of
researchers may be focussed on modelling other parts (e.g. quantiles) of this
conditional distribution. In this paper, we present an approach based on
quantile and M-quantile regression to achieve this goal. We applied the
methodologies to a prospective, randomized, multi-centre clinical trial. In
order to take into account the hierarchical nature of the data we extended the
M-quantile regression model to a three-level random effects specification and
estimated it by maximum likelihood
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.