協變量 協變量和因子的區別

【協變量 協變量和因子的區別】

協變量 協變量和因子的區別

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大家好,小跳來為大家解答以上的問題 。協變量和因子的區別,協變量這個很多人還不知道,現在讓我們一起來看看吧!
1、Covariates are random variables you treat as concomitants (see Concomitant Variable) or as other influential variables that also affect the response. Covariates in DOE are uncontrolled variables that influence the response but do not interact with any of the other factors being tested at the time. Therefore, if they are present during the experiment then they would show as measurements of error. covariate In statistics, a covariate is a variable that is possibly predictive of the outcome under study. A covariate may be of direct interest or be a confounding variable or effect modifier.ReferenceA Dictionary of Epidemiology: Fourth Edition. John M Last ed. Oxford UP 2001. 協變量 ( c o v a r i a t e ) 指與因變量有線性 相關并在 探討自變量與因變量關系時通過統計 技術 加 以控制 的變量 。
2、常用的協變量包括 因變量的前測分數 、 人 口統計學 指標 以及與因變量 明顯不同的個人特征等 。
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