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Every effect size has its place: a commentary on the avoidance of pre–post effect sizes

机译:每个效果大小都有其位置:避免前后效果大小的注释

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摘要

Along with the increasing popularity of meta-analysis, their methods have very much improved in the last decades, leading to highly sophisticated methods, for example multiple treatment comparisons and advanced multiple regression models (Sutton & Higgins, ). However, these improvements of meta-analytic methods should not obstruct one's view of the basic decisions and assumptions, because these may have a significant impact on result and interpretation of a meta-analysis, as was nicely illustrated by Cuijpers . ( ) in this journal for the choice of the effect size.
机译:随着荟萃分析的日益普及,在过去的几十年中,他们的方法有了很大的改进,从而导致了高度复杂的方法,例如多重治疗比较和先进的多重回归模型(Sutton&Higgins,)。但是,荟萃分析方法的这些改进不应妨碍人们对基本决策和假设的看法,因为这些可能会对荟萃分析的结果和解释产生重大影响,正如Cuijpers很好地说明的那样。 (),用于选择效果大小。

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