首页> 外文期刊>Journal of family nursing >Analysis of cross-sectional univariate measurements for family dyads using linear mixed modeling.
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Analysis of cross-sectional univariate measurements for family dyads using linear mixed modeling.

机译:使用线性混合建模分析家庭二元组的横截面单变量测量。

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摘要

Outcome measurements from members of the same family are likely correlated. Such intrafamilial correlation (IFC) is an important dimension of the family as a unit but is not always accounted for in analyses of family data. This article demonstrates the use of linear mixed modeling to account for IFC in the important special case of univariate measurements for family dyads collected at a single point in time. Example analyses of data from partnered parents having a child with a chronic condition on their child's adaptation to the condition and on the family's general functioning and management of the condition are provided. Analyses of this kind are reasonably straightforward to generate with popular statistical tools. Thus, it is recommended that IFC be reported as standard practice reflecting the fact that a family dyad is more than just the aggregate of two individuals. Moreover, not accounting for IFC can affect the conclusions.
机译:来自同一个家庭成员的结果测量值可能相关。这种家族内相关性(IFC)是家庭作为一个单元的重要方面,但并非总是在家庭数据分析中得到考虑。本文演示了在单时间点收集家庭二元组的单变量测量的重要特殊情况下,使用线性混合建模来解决IFC的问题。提供了对来自有孩子的慢性病的伴侣父母的数据的示例分析,这些孩子患有慢性病,其孩子对疾病的适应能力以及家庭的一般功能和疾病管理。用流行的统计工具可以很容易地进行这种分析。因此,建议将国际金融公司作为标准做法进行报告,以反映一个事实,即家庭二元组不仅仅是两个人的总数。此外,不考虑国际金融公司的影响也会影响结论。

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