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 rank correlation coefficient and principal component analysis were used to evaluate the conceptual overlap between the FACT-L and SF-6D. Five model specifications and four statistical techniques were used to derive mapping algorithms, including ordinary least squares (OLS), Tobit and beta-mixture regression models, which were used to directly estimate health utility, and ordered probit regression was used to predict the response level. The prediction performance was evaluated using the corre

SUBMITTER: Yang Q 

PROVIDER: S-EPMC10648360 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature