Addressing ceiling effects in health status measures: A comparison of techniques applied to measures for people with HIV disease

I. Chan Huang, Constantine Frangakis, Mark J. Atkinson, Richard J. Willke, Walter L. Leite, W. Bruce Vogel, Albert W. Wu

Research output: Contribution to journalArticlepeer-review

Abstract

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 (R2) predicted by statistical methods. Findings. A TPM with a log-transformed EQ-5D index performed best on R1; a LCM performed best on R2. In contrast, the CLAD was worst. Performance of the OLS and a standard TPM were intermediate. Values for R1 ranged from 0.33 (CLAD) to 0.42 (TPM-L); R2 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.

Original languageEnglish (US)
Pages (from-to)327-339
Number of pages13
JournalHealth services research
Volume43
Issue number1 P1
DOIs
StatePublished - Feb 2008

Keywords

  • Ceiling effects
  • HIV
  • Health-related quality of life

ASJC Scopus subject areas

  • Health Policy

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