An improper use of statistical significance testing in studying covariables.
An improper use of statistical significance testing in studying covariables.
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在研究协变量时不正确地使用统计显着性检验。
DOI：
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发表时间：
1978
影响因子：
7.7
通讯作者：
H. Ury
中科院分区：
文献类型：
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作者：
L. Dales;H. Ury
协变量对疾病和主要性状之间关联的混淆程度取决于另外两种关联的强度：协变量和疾病之间的关联，以及协变量和主要性状之间的关联。使用“传统的”临界水平，通过检验这些关联之一的统计学显著性来评估混淆的可能性是不够的。这种初步检验将举证责任置于错误的方向，忽视了混淆可能性的一个主要方面，并可能受到其他因素的不适当影响。如果必须使用它，则显著性水平应该是0.25或0.50，甚至可能更高。
How badly a covariable confounds the association between a disease and a primary trait depends on the strength of two other associations: between covariable and disease, and between covariable and primary trait. To assess the confounding potential by testing one of these associations for statistical significance, using a 'traditional' critical level, is inadequate. Such a preliminary test places the burden of proof in the wrong direction, ignores a major aspect of confounding potential, and may be inappropriately influenced by other factors. If it must be used at all, the significance level should be 0.25 or 0.50, possibly even higher.