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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Assessing erectile neurogenic dysfunction from heart rate variability through a Generalized Linear Mixed Model framework
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Assessing erectile neurogenic dysfunction from heart rate variability through a Generalized Linear Mixed Model framework

机译：通过广义线性混合模型框架从心率变异性评估勃起性神经源性功能障碍

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摘要

Background: The low (LF) vs. high (HF) frequency energy ratio, computed from the spectral decomposition of heart beat intervals, has become a major tool in cardiac autonomic system control and sympatho-vagal balance studies. The (statistical) distributions of response variables designed from ratios of two quantities, such as the LF/HF ratio, are likely to non-normal, hence preventing e.g., from a relevant use of the t-test. Even using a non-parametric formulation, the solution may be not appropriate as the test statistics do not account for correlation and heteroskedasticity, such as those that can be observed when several measures are taken from the same patient.Objectives: The analyses for such type of data require the application of statistical models which do not assume a priori independence. In this spirit, the present contribution proposes the use of the Generalized Linear Mixed Models (GLMMs) framework to assess differences between groups of measures performed over classes of patients.Methods: Statistical linear mixed models allow the inclusion of at least one random effect, besides the error term, which induces correlation between observations from the same subject. Moreover, by using GLMM, practitioners could assume any probability distribution, within the exponential family, for the data, and naturally model heteroskedasticity. Here, the sympatho-vagal balance expressed as LF/HF ratio of patients suffering neurogenic erectile dysfunction under three different body positions was analyzed in a.case-control protocol by means of a GLMM under gamma and Gaussian distributed responses assumptions.
机译：背景：根据心跳间隔的频谱分解计算得出的低（LF）与高（HF）频率能量比，已成为心脏自主系统控制和交感迷走神经平衡研究的主要工具。由两个量的比率（例如LF / HF比率）设计的响应变量的（统计）分布可能是非正态的，因此阻止了例如t检验的相关使用。即使使用非参数公式，该解决方案也可能不合适，因为测试统计数据并未考虑相关性和异方差性，例如从同一位患者采取多种措施时可以观察到的相关性和异方差性。的数据需要使用不具有先验独立性的统计模型。本着这种精神，本文稿建议使用广义线性混合模型（GLMM）框架来评估针对不同类别患者执行的一组测量之间的差异。方法：统计线性混合模型允许至少包括一个随机效应，此外错误项，它导致同一主题的观察结果之间具有相关性。此外，通过使用GLMM，从业人员可以假设指数族内数据的任何概率分布，并自然地对异方差建模。在此，在病例对照方案中，通过伽玛和高斯分布响应假设下的GLMM分析了交感迷走神经平衡，表示为在三个不同体位下遭受神经源性勃起功能障碍的患者的LF / HF比。

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