Quantifying publication bias in meta-analysis

Publication Bias in Meta-Analysis

Publication bias is the term for what occurs whenever the research that appears in the published literature is systematically unrepresentative of the population of completed studies. Simply put, when the research that is readily available differs in its results from the results of all the research that has been done in an area, readers and reviewers of that research are in danger of drawing the...

Adjusting for Publication Bias in Meta-Analysis

We review and evaluate selection methods, a prominent class of techniques first proposed by Hedges (1984) that assess and adjust for publication bias in meta-analysis, via an extensive simulation study. Our simulation covers both restrictive settings as well as more realistic settings and proceeds across multiple metrics that assess different aspects of model performance. This evaluation is tim...

Quantifying and Adjusting the Effects of Publication Bias in Continuous Meta-Analysis

This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and the coverage probability. The results demonstrate that if publication bias is not adjusted it coul...

Correcting Publication Bias In Meta-Analysis: A Truncation Approach

Publication bias in meta-analysis: Prevention, assessment and adjustments

Each study that is published about the effect of an independent variable on a dependent one, or the strength of the relationship between two variables, constitutes only a single piece in a constantly growing body of evidence. For example, over one hundred studies have been carried out to determine the relationship between employment interview performance and job performance (McDaniel, Whetzel, ...