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单词
random effects model
释义
random effects model
简明释义
随机效应模型:在统计学中,随机效应模型,也称为方差分量模型,是一种模型参数为随机变量的统计模型。它是一种层次线性模型,假设所分析的数据来自于一个不同群体的层次结构,这些群体之间的差异与该层次结构相关。随机效应模型是混合模型的一种特殊情况。
网络释义
短语
1
on-way random effects model
单向分类随机效应模型
2
two-way random effects model
双向分类随机效应模型
3
two-way classification random effects model
双向分类随机效应模型
双语例句
1
Note that a
random
effects
model
does not 'take account' of the heterogeneity, in the sense that it is no longer an issue.
注意随机效应模型没有考虑异质性,在某种意义上,它不是一个议题。
2
When there is heterogeneity that cannot readily be explained, one analytical approach is to incorporate it into a
random
effects
model
.
当异质性不容易被解释的时候,一个分析方法是将它合并为随机效应模型。
3
Treatment
effects
were summarised as relative risks or weighted mean differences with 95% confidence intervals by using a
random
effects
model
.
治疗效果采用相对危险度和加权均数差(采用随机效应模型的95%可信区间)概括。
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更新时间:2025/3/1 17:59:39