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.

Full article: How to interpret a meta-analysis and judge its value as a guide for clinical practice

Assessing treatment effects and publication bias across different specialties in medicine: a meta-epidemiological study

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

Publication bias: Graphical and statistical methods

Detailed Feature List Comprehensive Meta-Analysis

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

Funnel Plot - an overview

Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study, BMC Medical Research Methodology

Standardized mean differences cause funnel plot distortion in publication bias assessments

Publication bias is the tendency to decide to publish a study based on the results of the study, rather than on the basis of its theoretical or

Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments