Comparing a single case to a control sample: Testing for neuropsychological deficits and dissociations in the presence of covariates
Comparing a single case to a control sample: Testing for neuropsychological deficits and dissociations in the presence of covariates
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DOI：
10.1016/j.cortex.2011.02.017
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发表时间：
2011-11-01
期刊：
影响因子：
3.6
通讯作者：
Ryan, Kevin
中科院分区：
文献类型：
--
作者：
Crawford, John R.;Garthwaite, Paul H.;Ryan, Kevin
现有的推理方法测试的赤字或解离在单一的情况下，扩展到允许研究人员控制协变量的影响。新的（贝叶斯）方法提供了一个显着性检验，点和区间估计的影响大小的情况下和控制之间的差异，点和区间估计的异常情况下的分数，或标准化的分数差异。该方法具有广泛的潜在应用，例如，它们可以提供一种增加检测缺陷或分离的统计功效的方法，或者可以用于测试病例和对照之间的差异是否在排除潜在混杂变量的影响后仍然存在。这些方法在一系列PC计算机程序中实现（这些程序可以从www.abdn.ac.uk/similar下载到psy086/dept/Single_Case_Covariates.htm）。提供了这些方法的说明性实例。(C)2011 Elsevier Srl. All rights reserved.
Existing inferential methods of testing for a deficit or dissociation in the single case are extended to allow researchers to control for the effects of covariates. The new (Bayesian) methods provide a significance test, point and interval estimates of the effect size for the difference between the case and controls, and point and interval estimates of the abnormality of a case's score, or standardized score difference. The methods have a wide range of potential applications, e.g., they can provide a means of increasing the statistical power to detect deficits or dissociations, or can be used to test whether differences between a case and controls survive partialling out the effects of potential confounding variables. The methods are implemented in a series of computer programs for PCs (these can be down-loaded from www.abdn.ac.uk/similar to psy086/dept/Single_Case_Covariates.htm). Illustrative examples of the methods are provided. (C) 2011 Elsevier Srl. All rights reserved.