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What is the best test for publication bias?

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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What statistical tests are used for publication bias?

Various statistical tests have been proposed for publication bias in the funnel plot, such as Begg's rank test (Begg and Mazumdar, 1994) and Egger's regression test (Egger et al., 1997) and its extensions (e.g., Macaskill et al., 2001; Rothstein et al., 2005; Harbord et al., 2006; Peters et al., 2006).
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How do you assess publication bias?

Systematic reviews and meta-analyses use a funnel plot to check for the existence of publication bias or systematic heterogenicity in the studies taken for analysis. If the plot is symmetric inverted funnel shape, publication bias is unlikely.
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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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What is the funnel test for publication bias?

If there is publication bias, then studies with low precision that have negative or non-significant results will be missing from the plot because they were not published, producing a funnel plot that is asymmetric. Identifying funnel plot asymmetry may therefore suggest the possibility of publication bias.
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Testing and adjusting for publication bias in meta-analysis

What is the difference between Egger's test and Begg's test?

The test of Begg assesses if there is a significant correlation between the ranks of the effect estimates and the ranks of their variances. The test of Egger uses linear regression to assess the relation between the standardized effect estimates and the standard error (SE).
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What is the purpose of the V funnel test?

The V Funnel Apparatus is used to evaluate the flow time of freshly mixed self-compacting concrete. The test set consists of a stainless steel funnel placed vertically on a supporting stand. The discharge orifice is equipped with a lid, which can be momentarily opened.
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How do you deal with publication bias in meta-analysis?

How do you handle publication bias in your meta-analysis?
  1. Assess the risk of publication bias.
  2. Use funnel plots and tests.
  3. Use trim and fill methods.
  4. Use sensitivity analyses.
  5. Use alternative methods.
  6. Here's what else to consider.
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What is meta regression analysis?

Meta-regression serves to appropriately combine and contrast multiple subsets of studies (e.g. by study design, or by individual measurement procedures) when a single summary measure does not seem correct or sufficient to capture all the clinical or methodological diversity in those subsets.
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What is publication bias in comprehensive meta-analysis?

Publication bias exists when the studies included in the analysis differ system- atically from all studies that should have been included. Typically, studies with larger than average effects are more likely to be published, and this can lead to an upward bias in the summary effect.
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What is the difference between a systematic review and a meta-analysis?

A systematic review attempts to gather all available empirical research by using clearly defined, systematic methods to obtain answers to a specific question. A meta-analysis is the statistical process of analyzing and combining results from several similar studies.
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What is an example of publication bias?

For example, a researcher may cite their own published work more often than expected because researchers tend to refer to their own work more frequently. Moreover, they often overestimate the number of times their work has been cited.
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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 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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What is the minimum studies for publication bias?

Other statistical tests were less frequently used. Only 12 of the 41 systematic reviews (26.1%) reported that a minimum of ten studies was required to assess the risk of publication bias.
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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 is the difference between meta-regression and subgroup analysis?

A subgroup anal- ysis is performed when the characteristic of interest is a categorical variable (eg, design of the trial as randomized controlled trial or clinical controlled trial). A meta- regression analysis is performed when the characteristic of interest is a metric variable (eg, sample size of the tri- als).
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What is meta-analysis used for?

Meta-analysis would be used for the following purposes: To establish statistical significance with studies that have conflicting results. To develop a more correct estimate of effect magnitude. To provide a more complex analysis of harms, safety data, and benefits.
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What are the problems with meta-regression?

Several problems arise in meta-analysis: regressions are often non-linear; effects are often multivariate rather than univariate; coverage can be restricted; bad studies may be included; the data summarised may not be homogeneous; grouping different causal factors may lead to meaningless estimates of effects; and the ...
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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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How do I test my funnel?

Step 1: Setting Your Funnel to Test Mode
  1. Click Site & Funnels on the left-hand menu.
  2. Click Funnels on the left-hand sub-menu.
  3. Click the Funnel Name of your existing funnel.
  4. Click the Settings button at the top-right corner of the page to open the funnel's settings.
  5. Set the test mode option to “yes” to enable test mode.
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What is the V-funnel test of SCC?

The described V-funnel test is used to determine the filling ability (flowability) of the concrete with a maximum aggregate size of 20mm. The funnel is filled with about 12 litre of concrete and the time taken for it to flow through the apparatus measured.
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What is the L box test for concrete?

The L-Box test to BS EN 12350-10 is used to assess the passing ability of self-compacting concrete to flow through tight obstructions without segregation or blocking.
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How do you assess publication bias in a systematic review?

Another technique for assessing publication bias, known as the “fail-safe N method” or “Rosenthal analysis”8, involves identifying the number of additional negative studies that would be needed to increase the P-value in a meta-analysis to above 0.05.
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How can publication bias be prevented?

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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