Random Effects in Magnetobiology and a Way to Summarize Them
Random Effects in Magnetobiology and a Way to Summarize Them
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DOI：
10.1002/bem.22359
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发表时间：
2021-07-07
影响因子：
1.9
通讯作者：
Binhi, Vladimir N.
中科院分区：
文献类型：
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作者：
Binhi, Vladimir N.
在磁生物学中，很难再现弱磁场的非特异性（与特定受体无关）生物效应。这意味着在标准统计处理中可能会遗漏数据的一些重要特征，其中待平均的测量值集属于相同的总体，使得波动的贡献根据中心极限定理而减小。它已被证明，一系列测量的非特异性磁效应不仅包含通常的数据分散周围的平均值，但也有一个显着的随机成分的平均值本身。这一随机成分表明，测量属于不同的统计总体，需要特殊处理。这种成分，也被称为异质性，是一个通常被忽视的附加特征，它降低了再现性。目前研究和总结高度异质性数据的方法是绝对值的随机效应荟萃分析，即，是数量，而不是价值观本身。然而，这个估计值的平均值的绝对值有一个显着的正偏置，当它涉及到磁生物学的特点是小的影响。针对这一问题，提出了一种基于折叠正态分布的改进估计器，使估计偏差降低了数倍。我们使用这种改进的估计分析的非特异性影响的亚磁场在Stroop测试中的40名受试者，发现一个统计学上显着的元效应的标准化平均值的幅度约为0.1。它已被证明，所提出的方法也可以适用于一个单一的研究。(c)2021生物电磁学学会。
In magnetobiology, it is difficult to reproduce the nonspecific (not associated with specialized receptors) biological effects of weak magnetic fields. This means that some important characteristic of the data may be missed in standard statistical processing, where the set of measurements to be averaged belongs to the same population so that the contribution of fluctuations decreases according to the Central Limit Theorem. It has been shown that a series of measurements of a nonspecific magnetic effect contains not only the usual scatter of data around the mean but also a significant random component in the mean itself. This random component indicates that measurements belong to different statistical populations, which requires special processing. This component, otherwise called heterogeneity, is an additional characteristic that is typically overlooked, and which reduces reproducibility. The current method for studying and summarizing highly heterogeneous data is the random-effect meta-analysis of absolute values, i.e., of magnitudes, rather than the values themselves. However, this estimator-the average of absolute values-has a significant positive bias when it comes to the small effects that are characteristic of magnetobiology. To solve this problem, an improved estimator based on the folded normal distribution that gives several times less bias is proposed. We used this improved estimator to analyze the nonspecific effect of the hypomagnetic field in the Stroop test in 40 subjects and found a statistically significant meta-effect with a standardized average of magnitudes of about 0.1. It has been shown that the proposed approach can also be applied to a single study. (c) 2021 Bioelectromagnetics Society.