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- W3147601863 abstract "We congratulate Dan Jackson and Ian White for their outstanding work (Jackson & White, 2018) that is pivotal for two reasons. Firstly, the explicit, implicit, and hidden statistical assumptions behind meta-analyses are carefully presented and discussed; and secondly, the resultant consequences for the applied analysts are considered from a practical viewpoint. “It has not to be perfect, yet it has to be acceptable” is a stereotyped advice for first-time reviewers of scientific papers. This advice stresses the fact that there is a zone of reasonableness between excessive meticulousness and inappropriate permissiveness; however, it leaves the definition of range and limits of this zone to individual discretion. The situation seems to be quite similar for meta-analyses; some violations of their assumptions are minor and may be safely ignored, others are serious and their ignorance would then be a gross error; however, it still remains the responsibility of the individual researcher to decide how to proceed in a given case. We conclude by repeating the aforesaid, a meta-analysis “has not to be perfect, yet it has to be acceptable.” It will remain a challenging task to define “acceptable” both from a subject-matter and a statistical viewpoint. The authors have declared no conflict of interest." @default.
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- W3147601863 date "2018-08-01" @default.
- W3147601863 modified "2023-10-05" @default.
- W3147601863 title "Contribution to the discussion of “When should meta-analysis avoid making hidden normality assumptions?”" @default.
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- W3147601863 doi "https://doi.org/10.1002/bimj.201800189" @default.
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