如何用STATA对连续性变量进行meta回归分析
在stata中有个metareg命令，好像可以对连续变量进行回归分析。
附件中是一篇pdf文档，主要介绍stata中关于meta分析的命令。跟大家分享一下。
里面在提到metareg命令时，列举了以下三个列子：
1：metareg logor covariate1 covariate2, wsse(selogor)
2: metareg logor dur,wsvar(vlor) bs(eb)noit
3: metareg meandiff qual avchol, wsse(sediff)bs(ml)tol(5)l(90)
协变量是什么
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.
Reference
A Dictionary of Epidemiology: Fourth Edition. John M Last ed. Oxford UP 2001.
协变量 ( c o v a r i a t e ) 指与因变量有线性 相关并在 探讨自变量与因变量关系时通过统计 技术 加 以控制 的变量。常用的协变量包括 因变量的前测分数 、 人 口统计学 指标 以及与因变量 明显不同的个人特征等。数学上的？还是？
