Publication bias is a well‐known threat to the validity of meta‐analyses and, more broadly,
the reproducibility of scientific findings. When policies and recommendations are predicated …

Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal–
normal random-effects model is widely used to account for between-study heterogeneity …

Selective publishing of study results is a common threat to the validity of meta-analyses and
systematic reviews, leading to bias of pooled treatment effects and inaccurate conclusions …

Abstract The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact
on population health and wellbeing. Biomedical informatics is central to COVID-19 research …

The validation of diagnostic test meta-analysis is often threatened by publication bias, which
can be commonly characterized by the Copas selection model. Under this model …

Simulation studies are commonly used to evaluate the performance of newly developed
meta-analysis methods. For methodology that is developed for an aggregated data meta …

Systematic reviews and meta‐analyses synthesize results from well‐conducted studies to
optimize healthcare decision‐making. Network meta‐analysis (NMA) is particularly useful for …

The accuracy of a diagnostic test, which is often quantified by a pair of measures such as
sensitivity and specificity, is critical for medical decision making. Separate studies of an …

Prospective registration of study protocols in clinical trial registries is a useful way to
minimize the risk of publication bias in meta‐analysis, and several clinical trial registries are …

The validity of conclusions from meta-analysis is potentially threatened by publication bias.
Most existing procedures for correcting publication bias assume normality of the study …