考虑预期调整后的效果。
Accounting for Expected Adjusted Effect.
作者信息
Sorjonen Kimmo, Melin Bo, Ingre Michael
机构信息
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Department of Psychology, Faculty of Social Sciences, Stockholm University, Stockholm, Sweden.
出版信息
Front Psychol. 2020 Sep 17;11:542082. doi: 10.3389/fpsyg.2020.542082. eCollection 2020.
The point that adjustment for confounders do not always guarantee protection against spurious findings and type 1-errors has been made before. The present simulation study indicates that for traditional regression methods, this risk is accentuated by a large sample size, low reliability in the measurement of the confounder, and high reliability in the measurement of the predictor and the outcome. However, this risk might be attenuated by calculating the expected adjusted effect, or the required reliability in the measurement of the possible confounder, with equations presented in the present paper.
之前已经指出，对混杂因素进行调整并不总是能保证防止出现虚假结果和I型错误。目前的模拟研究表明，对于传统回归方法，大样本量、混杂因素测量的低可靠性以及预测变量和结果测量的高可靠性会加剧这种风险。然而，通过使用本文中给出的方程计算预期的调整效应或可能混杂因素测量所需的可靠性，这种风险可能会降低。
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