Erratum for ȁc;A new preference-based analysis for randomized trials can estimate treatment acceptability and effect in complaint patientsȁd; [J Clin Epidemiol 59 (2006) 685–696]

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• 作者：S.D. Walter ; Gordon Guyatt ; Victor M. Montori ; R. Cook ; K. Prasad
• 关键词：Center for Epidemiological Studies— ; Depression (CES-D) ; Late-life depression ; Multiple indicators ; multiple causes (MIMIC) model ; Established Populations for the Epidemiologic Studies of the Elderly (EPESE) ; Differential item functioning (DIF) ; Item
• 刊名：Journal of Clinical Epidemiology
• 出版年：2007
• 期刊代码：148_08954356
• 类别：med
• 出版时间：November 2007
• 卷：60
• 期：11
• 页码：1203
• 文件大小：54 K

摘要

This study reexamines findings reported by Cole et al. of item response bias in the Center for Epidemiologic Studies—Depression (CES-D) scale by age, gender, and race. We use an item response theory–based latent variable conditioning approach.

class="h4">Study Design and Setting

We used the multiple indicators, multiple causes (MIMIC) model framework to estimate measurement bias in the CES-D responses of participants in the New Haven Established Populations for the Epidemiologic Studies of the Elderly study (N = 2,340).

class="h4">Results

Measurement bias attributable to race was significant for the following two CES-D items: people ȁc;are unfriendlyȁd; and ȁc;dislike meȁd;. The proportional odds of a higher-category response by blacks relative to whites on these items were 2.35 (95%confidence interval [CI]: 1.65, 3.36) and 3.11 (95%CI: 2.04, 4.76), respectively. The proportional odds were higher among women (2.03 [95%CI: 1.35, 3.06]) relative to men for the CES-D item ȁc;crying.ȁd;

class="h4">Conclusion

Our findings confirm that three items on the CES-D show strong evidence of item response bias. The MIMIC model is preferable to the Mantel–Haenszel approach because it conditions on a latent variable, although the effect estimates can also be interpreted using a proportional odds framework.