(the unrestricted weighted least squares) that adjusts the degrees of freedom and thereby reduces small-sample bias to …, whether or not there is publication selection bias, However, publication selection bias remains a ubiquitous source of bias … eradicates publication selection bias, PET-PEESE keeps the rate of false positives (i.e., type I errors) within their nominal …

-hacking or publication bias, in particular for studies using an IV or DID approach. We show that a crucial continuity assumption …

bias is important, but only for those study results obtained through differencein- differences or instrumental variables …

bias is important, but only for those study results obtained through difference-in-differences or instrumental variables …

problem for inverse-variance weighting and bias-correction methods based on the funnel plot. Selection models fail to solve … the problem, and the simple mean can beat sophisticated estimators. Cures to publication bias may become worse than the …