Abstract–Publication bias can occur for many reasons, including the perceived need to present statistically significant results. We propose and compare methods for adjusting a single published estimate for possible publication bias using a truncated normal distribution. We attempt to estimate the mean of the underlying normal sampling distribution using only summary data readily available in most published work, making the results practical for use by a consumer of research. The adjustment methods are investigated via simulation and their results compared in terms of bias, mean squared error, and confidence interval coverage. The methods are also applied to eleven previously published studies. We find the proposed methods improve but do not eliminate biases from the statistical significance filter.

摘要–发表偏倚可能有多种原因，包括认为需要呈现具有统计意义的结果。我们提出并比较了使用截断正态分布调整单个已发表估计值的可能发表偏倚的方法。我们试图仅使用大多数已发表作品中现成的汇总数据来估计基础正态抽样分布的平均值，从而使结果可供研究消费者使用。通过模拟研究调整方法，并在偏差、均方误差和置信区间覆盖率方面比较它们的结果。这些方法也适用于之前发表的 11 项研究。我们发现所提出的方法改进了但没有消除统计显着性过滤器的偏差。