| Autor: |
Huang I, Frangakis C, Atkinson MJ, Willke RJ, Leite WL, Vogel WB, Wu AW, Huang, I-Chan, Frangakis, Constantine, Atkinson, Mark J, Willke, Richard J, Leite, Walter L, Vogel, W Bruce, Wu, Albert W |
| Zdroj: |
Health Services Research; Feb2008, Vol. 43 Issue 1p2, p327-339, 13p |
| Abstrakt: |
Objectives: To compare different approaches to address ceiling effects when predicting EQ-5D index scores from the 10 subscales of the MOS-HIV Health Survey.Study Design: Data were collected from an HIV treatment trial. Statistical methods included ordinary least squares (OLS) regression, the censored least absolute deviations (CLAD) approach, a standard two-part model (TPM), a TPM with a log-transformed EQ-5D index, and a latent class model (LCM). Predictive accuracy was evaluated using percentage of absolute error (R(1)) and squared error (R(2)) predicted by statistical methods.Findings: A TPM with a log-transformed EQ-5D index performed best on R(1); a LCM performed best on R(2). In contrast, the CLAD was worst. Performance of the OLS and a standard TPM were intermediate. Values for R(1) ranged from 0.33 (CLAD) to 0.42 (TPM-L); R(2) ranged from 0.37 (CLAD) to 0.53 (LCM).Conclusions: The LCM and TPM with a log-transformed dependent variable are superior to other approaches in handling data with ceiling effects. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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