Assessing and Avoiding Publication Bias in Meta-analyses

Publication bias distorts meta-analyses by inflating effects, necessitating identification and correction. Funnel plots and Egger's Test detect bias, while trim-and-fill corrects it, though limitations exist and sensitivity analyses are crucial.

Assessing Publication Bias: a 7-Step User's Guide with Best-Practice Recommendations

Assessing and Avoiding Publication Bias in Meta-analyses

Assessment of publication bias, selection bias, and unavailable data in meta -analyses using individual participant data: a database survey

Chapter 13: Assessing risk of bias due to missing results in a synthesis

Recommendations for examining and interpreting funnel plot asymmetry in meta -analyses of randomised controlled trials

Empirical assessment of effect of publication bias on meta-analyses

Investigating and addressing publication and other biases in meta-analysis – Statswork

Chapter 13: Assessing risk of bias due to missing results in a synthesis

Publication bias - Wikipedia

Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology, BMC Biology

Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods - Evan C. Carter, Felix D. Schönbrodt, Will M. Gervais, Joseph Hilgard, 2019