Sentence examples for removed studies of from inspiring English sources

Homogeneity (I = 0%) was showed among studies when we removed studies of Yildiz et al., 2008 [ 23], and Edgar, 2010 [ 24], including relatively small cutoff.

A mechanism for removing studies of certain risk groups would be required, and such a subjective decision could lead to additional sources of bias.

We also explored the possible impact of risk of bias on statistically significant pooled estimates of exercise effect by removing studies of poorer quality that is, those for which the risk of bias was unclear for at least three of the quality components considered, or the risk was at least unclear for one category and high for another.

We removed studies (i) of non-disease traits; (ii) that did not have replications; (iii) that did not report risk allele frequencies or p-values or ORs.

There was no difference in our overall effect estimates when we removed studies at increased risk of bias (appendix 8).

We either performed subgroup analyses or removed studies presenting a risk of bias and compared the pooled estimates with and without the excluded studies.

Therefore, the same polymer film can be spin-cast on the substrate and, without being removed, studied by a variety of techniques, including TEM, and atomic force microscopy (AFM).

Statistical heterogeneity between these trials was low and sensitivity analyses that assessed the effects of removing studies at unclear or higher risk of bias did not change the conclusions.

To examine the effect of removing studies with greatest potential for risk of bias, we conducted a sensitivity analysis where possible by repeating the analysis with data from selected papers meeting at least three of the following criteria: 50 or more SCCs reported, mean follow-up greater than three years, recurrence type specified, scoring 8-10 ouroureportingng quality assessment.

Influence of removing studies one by one on adjusted effect estimates of patients requiring supplementary analgesia.

The RED analysis, again, demonstrated the neutralizing effect of removing studies with missing data from the analysis.