Publication bias can be
directly detected by comparing published results and unpublished results from studies
that investigate the same research question.
How do you assess the risk of publication bias?
- Plan your approach.
- Identify an appropriate risk of bias assessment tool.
- Be aware of related issues.
- Appraise each study.
- Report the assessment process.
- Use your appraisals to inform the guideline.
What are some examples of publication bias?
Gray-literature bias
: ignoring literature that’s harder to find, like government reports or unpublished clinical studies. Language bias: the exclusion of foreign language studies from your analysis. Media attention bias: studies that show up in the news are more likely to be included in analyses than those that do not.
Under which circumstance does publication bias arise?
Abstract: Publication bias occurs when
results of published studies are systematically different from results of unpublished studies
.
How common is publication bias?
Some studies state that the publication bias mostly originates when scientists choose not to report their findings as the rejection by the journal is
only 6% of all the reasons for non-publishing
(14, 15).
What is the main reason for publication bias?
Research has shown causes of publication bias ranging from
trialist motivation, past experience, and competing commitments
; perceived or real lack of interest in results from editors, reviewers or other colleagues; or conflicts of interest that would lead to the suppression of results not aligned with a specific agenda …
What is the effect of publication bias?
Publication bias occurs
when studies with statistically significant results have increased likelihood of being published
. Publication bias is commonly associated with inflated treatment effect which lowers the certainty of decision makers about the evidence.
What is the publication bias in psychology?
Publication bias, in its most general definition, is
the phenomenon that significant results have a better chance of being published
, are published earlier, and are published in journals with higher impact factors [34].
What are the types of bias?
- Confirmation bias. …
- The Dunning-Kruger Effect. …
- Cultural bias. …
- In-group bias. …
- Decline bias. …
- Optimism or pessimism bias. …
- Self-serving bias. …
- Information bias.
How do you avoid publication bias?
Publication bias may be
reduced by journals by publishing high-quality studies
regardless of novelty or unexciting results, and by publishing protocols or full-study data sets.
How do you minimize publication bias?
Bias can be minimized by (1) insisting on high-quality research and thorough literature reviews, (2) eliminating the double standard concerning peer review and informed consent applied to clinical research and practice, (3)
publishing legitimate trials regardless of their results
, (4) requiring peer reviewers to …
Who is most responsible for publication bias?
Selective submission of papers by authors
rather than selective recommendation by peer reviewers and selective acceptance by editors thus appears to be the dominant contributor to publication bias. In addition, Dickersin et al.
What is an example of publication?
The definition of publication is something that is written and printed.
A magazine
is an example of a publication.
What do you mean by publication bias?
Publication bias
results from the selective publication of studies based on the direction and magnitude of their results
-studies without statistical significance (negative studies) are less likely to be published.
How is publication bias an ethical issue?
Apparently, publication bias
poses serious threats to the integrity of scientific research
. It prevents us from consuming objective, true, and unbiased research, and introduces much error in what we read and believe. Thus, publication bias and relevant topics should be addressed in research ethics modules and courses.
What is meant by confirmation bias?
Confirmation bias, the
tendency to process information by looking for, or interpreting, information that is consistent with one’s existing beliefs
. This biased approach to decision making is largely unintentional and often results in ignoring inconsistent information.
