Work

Analysis of Health-Related Quality of Life in Multiple Sclerosis: A Bayesian Quantile LASSO Approach.

Year: 2026

Type: article

Abstract: : BQL with a quantile level of 0.5 shows the lowest in-sample prediction error when examining the healthcare costs and HRQoL in MS.

Source: PubMed

DOI: 10.3390/healthcare14162454

Authors: Xi Lu, Jieni Li, Rajender R Aparasu, Cen Wu

Institutions: University of Houston, Kansas State University

Language: English

Topic: Multiple Sclerosis Research Studies

Subfield: Pathology and Forensic Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7202032932

FWCI:

Cites: 1

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