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We agree with Drs Batterham and Hopkins that small studies are not necessarily inherently flawed. However, probabilistically speaking, even in the absence of biases, small-sized trials are more prone to provide overestimates (or underestimates) compared with larger trials. Thus, evidence from scattered small studies is easier to distort than evidence from large trials because analyses with the most impressive results are more likely to be published compared with studies showing underestimated treatment effects.
机译:我们同意Batterham和Hopkins博士的观点,即小型研究不一定固有地存在缺陷。然而,从概率上讲,即使没有偏见,与大型试验相比,小型试验也更倾向于提供高估(或低估)的方法。因此,分散的小型研究的证据比大型试验的证据更容易失真,因为与显示治疗效果低估的研究相比,具有最令人印象深刻的结果的分析更有可能发表。

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