That set of 17 also showed a severe publication bias.

Here, the body of evidence is even smaller: only seven studies during the same time period, also suffering from a strong publication bias.

In addition, there was no evidence for heterogeneity or publication bias.

Publication bias: Is a judgement made on the basis of the question whether all the research evidence has been taken to account.

This creates "publication bias," which has become an enormous problem in the scientific community.

That's because studies that come up with negative results tend not to appear in the medical literature, a problem known as "publication bias."

Controversy over significance testing, and its effects on publication bias in particular, has produced several results.

Publication bias, the tendency for researchers to publish research which had a positive outcome.

Furthermore, there was no indication of publication bias or significant heterogeneity.

This problem is known as positive results bias, a type of publication bias.

It might move us in the direction of addressing the huge problem of publication bias.

A meta-analysis of 380 studies in 2006 found a "very small" effect which could possibly be explained by publication bias.

For example, publication bias can make a merely mediocre drug look spectacularly effective.

Whatever the final outcome for Reboxetine, the original trials show a clear case of publication bias.

Publication bias is often cited in investigations of papers on the Paranormal.

This suggests the possibility of either publication bias or a systematic difference between smaller and larger studies ('small study effects').

Others have suggested that the effect may be due to other new physics, foreground contamination, or even publication bias.

However, the authors discuss numerous limiting factors ranging from publication bias to small effect size.

Estimating the proportion of studies missing for meta-analysis due to publication bias.

In addition, they report that evidence for stereotype threat in children appears to be subject to publication bias.

One possible interpretation of this result is selective publication (publication bias).

However, low power problems likely remain at issue, and estimations of publication bias may remain lower than the true amount.

The publication bias produced by researchers not publishing negative results is illustrated with funnel plots.

One remaining concern is publication bias - that publication has favoured those trials with positive results.

The most extensive part of the analysis explores the possibility of what's termed "publication bias."