I am conducting a meta-analysis of meta-analyses, and one thing we want to do is compare the degree of publication bias between meta-analyses. Meta-analyses report publication bias in dozens of different ways (Egger Z statistic, Egger T tests, Egger Alpha, Egger D, Egger Beta (intercept), Egger's test (p), G2, Moderator Analysis (slope), Moderator Analysis (Q), Moderator I^2, Moderator t, Fail Safe N, P-curve value Z, Bayers Factor, Fisher's exact test, PET (p) and PEESE (p), PET (B) and PEESE (B), Begg's (z), Trim and Fill, Funnel Plot Regression Slope, Begg Rank Correlation Ranked Variances t, Funnel Symmetry/Asymmetry, Rank test p, Begg's Kendall's t, Significant Likelihood Ratio Test X^2, Peters' Significant, Regression test t).
Is there a way to convert these various metrics to a common metric for comparison in the same way various effect sizes can be converted to an r for comparison? If not all of them, can at least some of them be converted? For example, are Egger Z and Begg's z equivalent to a Z-score? And is an Egger D equivalent to a Cohen's d?
Are there any good papers that discuss and compare various publication bias metrics?