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一些与个体生物体方法学兼容的统计处理方法。

Some statistical treatments compatible with individual organism methodology.

作者信息

Revusky S H

出版信息

J Exp Anal Behav. 1967 May;10(3):319-30. doi: 10.1901/jeab.1967.10-319.

Abstract

Consider experimental treatments with consequences so irreversible that baseline performance cannot be recovered. The conventional method of assessing the effects of such treatments by statistical means involves separate experimental and control groups. An alternative proposed here is to administer the experimental treatment to each subject, one subject at a time and in a random order; whenever any subject receives the experimental treatment, those subjects which have not yet received it receive a control treatment. This procedure permits results significant at the one-tailed 0.05 level to be obtained with four subjects; if a two-group procedure evaluated by means of the U test is used, a minimum of six subjects is needed for the same significance level. More generally, the procedure permits equal sensitivity to any experimental effect with over 30% fewer subjects than a two-group procedure. Extensions of the basic method are made to a variety of levels of the experimental treatment and to treatments without irreversible effects, and limitations of the method are discussed.

摘要

考虑那些具有不可逆转后果的实验性治疗,以至于无法恢复基线表现。通过统计方法评估此类治疗效果的传统方法涉及单独的实验组和对照组。这里提出的一种替代方法是对每个受试者进行实验性治疗,每次一个受试者,且顺序随机;每当任何受试者接受实验性治疗时,那些尚未接受治疗的受试者接受对照治疗。该程序允许在有四名受试者的情况下获得单尾0.05水平显著的结果;如果使用通过U检验评估的两组程序,则在相同显著性水平下至少需要六名受试者。更一般地说,与两组程序相比该程序允许以超过30%的更少受试者对任何实验效果具有同等的敏感性。该基本方法被扩展到实验性治疗的各种水平以及无不可逆效果的治疗,并讨论了该方法的局限性。

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本文引用的文献

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A sensitive rank test for comparing the effects of two treatments on a single group.
Psychometrika. 1965 Dec;30(4):459-67. doi: 10.1007/BF02289536.

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