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用于评估治疗-协变量相互作用的变点统计量。

Changepoint statistics for assessing a treatment-covariate interaction.

作者信息

Koziol J A, Wu S C

机构信息

Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California 92037, USA.

出版信息

Biometrics. 1996 Sep;52(3):1147-52.

PMID:8924575
Abstract

We formulate a stochastic process approach, related to that of Miller and Siegmund (1982, Biometrics 38, 1001-1016), for comparing two treatments in the setting where a covariate might affect the difference between the treatments. We illustrate the approach with data from a recent clinical trial examining whether pretreating subjects scheduled for major elective surgery with erythropoietin reduces their subsequent requirement for blood transfusion. The approach is valuable in identifying a changepoint in baseline hemoglobin level below which subjects appear to be more responsive to the infusion of erythropoietin.

摘要

我们制定了一种随机过程方法,与米勒和西格蒙德(1982年,《生物统计学》38卷,1001 - 1016页)的方法相关,用于在协变量可能影响两种治疗方法差异的情况下比较这两种治疗方法。我们用最近一项临床试验的数据来说明该方法,该试验研究了对计划进行大型择期手术的受试者预先使用促红细胞生成素治疗是否会降低他们随后的输血需求。该方法在确定基线血红蛋白水平的变化点方面很有价值,低于该变化点时,受试者似乎对促红细胞生成素输注更有反应。

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