Sentence examples for between the study sizes from inspiring English sources

In the selection of small meta-analyses with large ratios between the study sizes 14 (50.0%) of the 28 meta-analyses significant with the DL method were not significant with the HKSJ method, while the opposite scenario occurred once.

In the selection of small meta-analyses (< = 5 studies) with large ratios between the study sizes (ratio > 5), the difference between the DL and HKSJ results was even larger.

In the selection of meta-analyses based on at most five studies and with large ratios between the study sizes (ratio > 5) 13 (59.1%) of the 22 meta-analyses significant with the DL method were not significant with the HKSJ method and none of the meta-analyses was only significant with the HKSJ method.

The study size varied between 10 and 674 patients.

Potential sources of heterogeneity between the studies include variations in the study size, patient characteristics (age, gender, geographic location, underlying comorbidities and use of other drugs), type of bisphosphonates, exposure and outcome ascertainment methods, and the study quality.

As Sterne & Egger (2005) themselves caution, however, this procedure cannot assign a causal mechanism, such as selection bias, to the correlation between study size and effect size, and they urge the use of the more noncommittal term "small-study effect".

The Precision Effect Test (PET, Stanley, 2008; Stanley & Doucouliagos, 2014) is a variant of the classical Egger regression test (Sterne & Egger, 2005), which tests the relationship between study size and effect size.

Finally, as we discuss in detail in this month's issue of the journal Perspectives on Psychological Science, we are troubled by the link between small study size and publication bias.

The relation between study size and reported effect size was weak.

Such studies are urgently needed to help identify the balance between study size and length required to secure reliable insight into intervention tradeoffs.

The funnel plot technique was used to detect publication bias [ 7- 9]: Diagrams of the relation between study size and reported effect size were drawn and visually checked for asymmetry.