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. 2022 Feb 23;9(2):211499. doi: 10.1098/rsos.211499

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© 2022 The Authors.

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

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Figure 2. — The text values on the right represent estimated percentages and corresponding 95% CIs of true population effects in the naive meta-analysis that are as small as, or smaller than, the MLR estimate. CIs are omitted when they were not estimable via bias-corrected and accelerated bootstrapping [19]. The left side of the figure shows estimates from sensitivity analyses representing worst-case publication bias (vertical tick marks) versus naive meta-analysis estimates (triangles) and multi-laboratory replication estimates (MLR; circles). For orange-coloured meta-analyses, the worst-case estimate exceeds the MLR estimate, indicating that no amount of publication bias that results could entirely explain the discrepancy between the naive estimate and the MLR estimate.