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How do you quantify publication bias?

Besides detecting publication bias using selection models and funnel-plot-based methods, it is also important to quantify publication bias using measures that permit comparisons between different meta-analyses. A candidate measure is the intercept of the regression test (Egger et al., 1997).
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How is publication bias measured?

Egger's test is commonly used to assess potential publication bias in a meta-analysis via funnel plot asymmetry (Egger's test is a linear regression of the intervention effect estimates on their standard errors weighted by their inverse variance).
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How do you assess risk of publication bias?

In the four tools with an assessment of risk of bias due to selective publication, 'high' risk criteria include evidence of funnel plot asymmetry, discrepancies between published and unpublished studies, use of non-comprehensive searches and presence of small, 'positive' studies with for-profit interest (table 3).
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How do you counter 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 ...
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What are the two methods of publication bias testing?

3.1 Detecting publication bias
  • 1 Funnel plots. ...
  • 2 Regression- and correlation-based methods. ...
  • 3 Time-lag bias tests.
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Understanding Publication Bias in Research

What is the best test for publication bias?

Funnel plots and Egger's Test detect bias, while trim-and-fill corrects it, though limitations exist and sensitivity analyses are crucial. Publication bias – when studies with significant results are more likely to be published than non-significant findings – has dangerous consequences for meta-analyses.
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How many studies are needed to assess for publication bias?

Second, investigators should use appropriate techniques to assess publication bias such as Egger's regression or symmetry of funnel plots whenever there are greater than 10 studies combined in a meta-analysis (with less than 10 the assessment methods are not very reliable).
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What are some examples of publication bias?

There are a number of factors that can cause publication bias:
  • Researchers often do not submit their negative findings because they feel their research has “failed,” or that it's not interesting enough.
  • In some cases, researchers may suppress negative results from clinical trials for fear of losing their funding.
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What is an example of publication bias?

For example, one may communicate a story with undue significance or weight; that is, with greater importance than a neutral journalist or editor would provide. Outcome reporting bias is a type of bias that happens when the researcher chooses to publish specific outcomes based on the results.
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How do you deal with publication bias in meta-analysis?

Publication bias is a serious problem in systematic reviews and meta-analyses, which can affect the validity and generalization of conclusions. Currently, approaches to dealing with publication bias can be distinguished into two classes: selection models and funnel-plot-based methods.
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What is the graphical or statistical test for publication bias?

A well-known graphical method is the funnel plot examination [9]. This method aims to construct a scatter plot of the study effect sizes on the horizontal axis against some measure of each study's size or precision on the vertical axis. The dots in this plot together look like an inverted funnel.
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Is reporting bias the same as publication bias?

The validity of systematic reviews, however, can be undermined by publication bias, which occurs when the publication or non-publication of research findings is determined by the direction or strength of the evidence [6], and by outcome reporting bias whereby only a subset of outcomes, typically those most favourable, ...
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What scales measure biases?

The Biased Attitudes Scale (BiAS) is a 32-item self-report measure that can be used to assess individual differences in three types of biases that hinder ethical decision making: 1) simplification, 2) verification, and 3) regulation. Use of the scale is freely available to researchers for academic purposes.
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How do you interpret a funnel plot for publication bias?

Presence of large “holes”—most often seen close to the bottom—or asymmetry in the plot indicates publication bias, though these holes may have other causes, such as study heterogeneity.
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What is the risk of publication bias?

Specifically, the conclusions of the review may be compromised when decisions about how, when and where to report results of eligible studies are influenced by the nature and direction of the results. This is the problem of 'non-reporting bias' (also described as 'publication bias' and 'selective reporting bias').
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What type of bias is publication bias?

Publication bias is a type of reporting bias and closely related to dissemination bias, although dissemination bias generally applies to all forms of results dissemination, not simply journal publications.
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How is publication bias an ethical issue?

Publication bias is defined as "the tendency on the parts of investigators, reviewers, and editors to submit or accept manuscripts for publication based on the direction or the strength of the study findings."Publication bias distorts the accumulated data in the literature, causes the over estimation of potential ...
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Is publication bias intentional?

Bias may be introduced intentionally or unintentionally, consciously or unconsciously, into the process of research dissemination. 3,18 The dissemination profile of research may be influenced by investigators, study sponsors, peer reviewers, and journal editors.
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How do you assess a publication?

The credibility of a journal may be assessed by examining several key factors:
  1. Where is it indexed? Is the journal included or indexed in the major bibliographic databases for the field? ...
  2. What is its publishing history? How long has the journal been available? ...
  3. Is it peer-reviewed? ...
  4. What is its impact factor?
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What is the statistical measure of bias?

Statistical bias is any instance that creates a difference between an expected value and the true value of a parameter being estimated, leading to inaccurate results. It can be caused by inadequate data collection and measurement, omission of too many variables or flawed study design.
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What is an example of measurement bias in research?

Measurement bias results from poorly measuring the outcome you are measuring. For example: The survey interviewers asking about deaths were poorly trained and included deaths which occurred before the time period of interest.
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What is common method bias measurement?

Common method bias can occur when both the independent and dependent variables are measured within one survey, using the same (i.e., a common) response method (e.g., ordinal scales).
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What is positive publication bias?

These bias not only distorts the scientific process but also disrupts the self-correcting process of other bias in research.[5] Positive publication bias occurs when there is lack of interest of scientists toward negative and non-significant results because of high rejection rates in journals as it attracts fewer ...
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What is the p value of publication bias in Egger test?

Egger's test for a regression intercept gave a p-value of 0.028, indicating possible publication bias. The funnel plot for Figure 4B shows no evidence of publication bias. Begg and Mazumdar's test for rank correlation gave a p-value of 1.000, indicating no publication bias.
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Does publication bias cause heterogeneity?

Our results show that the effect of publication bias on the Q test and assessment of heterogeneity is large, complex, and nonlinear. Publication bias can both dramatically decrease and increase heterogeneity in true effect size, particularly if the number of studies is large and population effect size is small.
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