A new improved graphical and quantitative method for detecting bias in meta-analysis
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 manifesting as an association between precision and effect size and therefore visual asymmetry of conventional funnel plots. This asymmetry can be quantified and Egger's regression is, by far, the most widely used statistical measure for quantifying funnel plot asymmetry. However,...[Show more]
|Collections||ANU Research Publications|
|Source:||International Journal of Evidence-based Healthcare|
|01_Furuya+Kanamori_A_new_improved_graphical_and_2018.pdf||508.91 kB||Adobe PDF||Request a copy|
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