多元线性混合模型在乳腺癌患者肩部复杂性分析中的应用。
An Application of the Multivariate Linear Mixed Model to the Analysis of Shoulder Complexity in Breast Cancer Patients.
作者信息
Oskrochi Gholamreza, Lesaffre Emmanuel, Oskrochi Youssof, Shamley Delva
机构信息
Department of Mechanical Engineering an Mathematical Sciences, Oxford Brookes University, Wheatley Campus, Wheatley, Oxford OX33 1HX, UK.
Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat), Kapucijnenvoer 35 blok D, B-3000 Leuven, Belgium.
出版信息
Int J Environ Res Public Health. 2016 Mar 2;13(3):274. doi: 10.3390/ijerph13030274.
In this study, four major muscles acting on the scapula were investigated in patients who had been treated in the last six years for unilateral carcinoma of the breast. Muscle activity was assessed by electromyography during abduction and adduction of the affected and unaffected arms. The main principal aim of the study was to compare shoulder muscle activity in the affected and unaffected shoulder during elevation of the arm. A multivariate linear mixed model was introduced and applied to address the principal aims. The result of fitting this model to the data shows a huge improvement as compared to the alternatives.
在本研究中，对过去六年中接受过单侧乳腺癌治疗的患者的四块主要作用于肩胛骨的肌肉进行了调查。通过肌电图评估患侧和未患侧手臂外展和内收期间的肌肉活动。该研究的主要目的是比较手臂抬高过程中患侧和未患侧肩部的肌肉活动。引入并应用了多元线性混合模型来解决主要目标。将该模型拟合到数据的结果表明，与其他模型相比有了巨大的改进。
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