Addressing ceiling effects in health status measures: A comparison of techniques applied to measures for people with HIV disease
Addressing ceiling effects in health status measures: A comparison of techniques applied to measures for people with HIV disease
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DOI：
10.1111/j.1475-6773.2007.00745.x
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发表时间：
2008-02-01
影响因子：
3.4
通讯作者：
Wu, Albert W.
中科院分区：
文献类型：
--
作者：
Huang, I-Chan;Frangakis, Constantine;Wu, Albert W.
目标.比较不同的方法，以解决上限效应时，预测EQ-5D指数得分从10个分量表的MOS-HIV健康调查。研究设计。数据来自一项艾滋病毒治疗试验。统计方法包括普通最小二乘（OLS）回归、删失最小绝对偏差（CLAD）方法、标准两部分模型（TPM）、具有对数转换EQ-5D指数的TPM和潜在类别模型（LCM）。采用统计学方法预测的绝对误差百分比（R-1）和平方误差（R-2）评估预测准确性。具有对数转换EQ-5D指数的TPM在R-1上表现最好; LCM在R-2上表现最好。相比之下，CLAD最差。OLS和标准TPM的性能处于中间水平。R-1值范围为0.33（CLAD）至0.42（TPM-L）; R-2范围为0.37（CLAD）至0.53（LCM）。对数转换因变量的LCM和TPM在处理天花板效应数据时上级其他方法。
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.