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problem for inverse-variance weighting and bias-correction methods based on the funnel plot. Selection models fail to solve … the problem, and the simple mean can beat sophisticated estimators. Cures to publication bias may become worse than the …
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(the unrestricted weighted least squares) that adjusts the degrees of freedom and thereby reduces small-sample bias to …, whether or not there is publication selection bias, However, publication selection bias remains a ubiquitous source of bias … eradicates publication selection bias, PET-PEESE keeps the rate of false positives (i.e., type I errors) within their nominal …
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A study that would otherwise be eligible is commonly excluded from a meta-analysis when the standard error of its treatment-effect estimator, or the estimate of the variance of the outcomes, is not reported and cannot be recovered from the available information. This is wasteful when the...
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