Erratum to: Error Rates, Decisive Outcomes and Publication Bias with Several Inferential Methods

Erratum to: Error Rates, Decisive Outcomes and Publication Bias with Several Inferential Methods.

BACKGROUND Statistical methods for inferring the true magnitude of an effect from a sample should have acceptable error rates when the true effect is trivial (type I rates) or substantial (type II rates). OBJECTIVE The objective of this study was to quantify the error rates, rates of decisive (publishable) outcomes and publication bias of five inferential methods commonly used in sports medic...

The perceived feasibility of methods to reduce publication bias

Publication bias is prevalent within the scientific literature. Whilst there are multiple ideas on how to reduce publication bias, only a minority of journals have made substantive changes to address the problem. We aimed to explore the perceived feasibility of strategies to reduce publication bias by gauging opinions of journal editors (n = 73) and other academics/researchers (n = 160) regardi...

Publication policy or publication bias?

Although ‘‘a large number of studies have appeared in the literature that report associations of low penetrance genetic variants with disease,’’ as suggested in the recent CEBP editorial (1), hardly any of these reports have been translated into solid results by replication studies, at least for the common cancers. To some extent this is inevitable, as false-positive associations are an inheren...

A modified regression method to test publication bias in meta-analyses with binary outcomes

BACKGROUND The tendency towards publication bias is greater for observational studies than for randomized clinical trials. Several statistical methods have been developed to test the publication bias. However, almost all existing methods exhibit rather low power or have inappropriate type I error rates. METHODS We propose a modified regression method, which used a smoothed variance to estimat...

Publication Bias