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However, the frequentist multivariate approaches require approximations and assumptions that aren't stated explicitly or verified if the strategies are utilized (see dialogue on meta-analysis types above). For example, the mvmeta package for Stata permits network meta-analysis in a frequentist framework.[sixty seven] However, if there isn't any prevalent comparator in the network, then this needs to be taken my site care of by augmenting the dataset with fictional arms with large variance, which is not quite objective and necessitates a decision as to what constitutes a sufficiently large variance.
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Secondly, you can do an Egger's regression take a look at, which exams if the funnel plot is symmetrical. As mentioned before: a symmetrical funnel plot is an indication that there's no publication bias, as the effect size and sample size aren't dependent. Thirdly, you can do the trim-and-fill system, which imputes facts Should the funnel plot is asymmetrical.
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