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Dataset Information

Utility score mapping from FACT-G to EQ-5D-5L and SF-6Dv2 in breast and colorectal cancer patients: a focus on beta mixture models.


ABSTRACT:

Objective

To develop algorithms mapping the Functional Assessment of Cancer Therapy-General Scale (FACT-G) onto the EuroQol 5-Dimension 5-level (EQ-5D-5 L) and the Short-Form Six-Dimension version 2 (SF-6Dv2) for patients with breast or colorectal cancers.

Methods

An online survey was conducted to collect responses to FACT-G, EQ-5D-5L, and SF-6Dv2 from cancer patients in Quebec, Canada (N = 202). Linear models including ordinary least squares (OLS), Censored Least Absolute Deviations (CLAD), the robust MM-estimator model (MM), as well as mixture models including two-part model (TPM), and beta-based mixture (betamix) model were used. Mean absolute error (MAE), root mean squared error (RMSE), R2, Bayesian information criteria (BIC), and limits of agreement (LOA) calculated usi

SUBMITTER: Poder TG 

PROVIDER: S-EPMC12584538 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature