Authors' reply: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019).
作者信息
Heo Moonseong, Meissner Paul, Litwin Alain H, McKee M Diane, Karasz Alison, Chambers Earle C, Yeh Ming-Chin, Wylie-Rosett Judith
机构信息
1 Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
2 Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
出版信息
Stat Methods Med Res. 2019 May;28(5):1600-1602. doi: 10.1177/0962280218767707. Epub 2018 Apr 10.
Abstract
摘要
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Authors' reply: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019).作者回复：致编辑的信：用于比较效果研究的偏好选项随机设计（PORD）：检验比较效果、偏好效果、选择效果、意向性治疗效果和总体效果的统计功效（《脊柱畸形与相关研究》，第28卷，第2期，2019年）
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本文引用的文献
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Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect.偏好选项随机设计（PORD）在比较有效性研究中的应用：用于检验比较效果、偏好效果、选择效果、意向治疗效果和总体效果的统计功效。
Stat Methods Med Res. 2019 Feb;28(2):626-640. doi: 10.1177/0962280217734584. Epub 2017 Nov 9.
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A new preference-based analysis for randomized trials can estimate treatment acceptability and effect in compliant patients.
J Clin Epidemiol. 2006 Jul;59(7):685-96. doi: 10.1016/j.jclinepi.2005.11.016. Epub 2006 Mar 27.
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