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Selecting the best meta-analytic estimator for evidence-based practice: a simulation study.
(
Lippincott, Williams & Wilkins
, 2019 , Article)
Studies included in meta-analysis can produce results that depart from the true population parameter of interest due to systematic and/or random errors. Synthesis of these results in meta-analysis aims to generate an ...
A new improved graphical and quantitative method for detecting bias in meta-analysis.
(
Lippincott, Williams & Wilkins
, 2018 , Article)
Detection of publication and related biases remains suboptimal and threatens the validity and interpretation of meta-analytical findings. When bias is present, it usually differentially affects small and large studies ...
Effectiveness of Different Topical Treatments in the Healing of Pressure Injuries: A Network Meta-analysis.
(
Elsevier
, 2018 , Article)
Pressure injuries (PIs) are one of the most common types of complex wounds and impose a huge economic burden on the healthcare system and the patients. A plethora of topical treatments is widely available for PI treatment, ...
Comment on a review of methods to assess publication and other reporting biases in meta-analysis
(
John Wiley and Sons Ltd
, 2022 , Article)
We read with interest the well-written review on the assessment of publication and other reporting biases in meta-analysis by Page et al.1 in which both funnel plots and tests for its asymmetry were described. The decision ...
A new method for synthesizing test accuracy data outperformed the bivariate method
(
Elsevier
, 2020 , Article)
This paper outlines the development of a new method (split component synthesis; SCS) for meta-analysis of diagnostic accuracy studies and assesses its performance against the commonly used bivariate random effects model. ...
Comparison of bias adjustment in meta-analysis using data-based and opinion-based methods.
(
Wolters Kluwer Health
, 2024 , Article)
Several methods exist for bias adjustment of meta-analysis results, but there has been no comprehensive comparison with unadjusted methods. We compare 6 bias-adjustment methods with 2 unadjusted methods to examine how these ...