Prediction of the SF-6D utility score from Lung cancer FACT-L: a mapping study in China

Prediction of the SF-6D utility score from Lung cancer FACT-L: a mapping study in China

Abstract Objective To develop a mapping algorithm for generating the Short Form Six-Dimension (SF-6D) utility score based on the Functional Assessment of Cancer Therapy-Lung (FACT-L) of lung cancer patients. Methods Data were collected from 625 lung cancer patients in mainland China. The Spearman ra...

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Bibliographic Details
Main Authors: Qing Yang, Long Lin Jiang, Yin Feng Li, Deyu Huang
Format: Article
Language:English
Published: BMC 2023-11-01
Series:Health and Quality of Life Outcomes
Subjects:
SF-6D · FACT-L
Mapping
Beta-mixture
Linear regression
Response mapping
Health-related quality of life (HRQoL)
Online Access:https://doi.org/10.1186/s12955-023-02209-8

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