Sentence examples for removed studies with from inspiring English sources

Our findings were robust when we removed studies with placebo and no-treatment arms from the analyses.

We removed each single study from the meta-analyses and recalculated the summary association (the "leave one out" approach) 35; removed studies with scores <7 on the Newcastle-Ottawa scale and recalculated the pooled association; included unpublished data on trans fats and CHD mortality (P Knekt, personal communication); and removed risk estimates imputed because of incomplete reporting.

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

Our scoring system attempted to remove studies with significant selection bias, performance bias, attrition bias or detection bias.

By removing studies with quality scores less than four, the results remained stable to sensitivity analysis.

Finally, we also examined the impact of removing studies with extreme ORs or the highest weight in analysis, as well as removing individual studies in a sequential manner.

Results for the pregnancy exposure time window were fairly robust to sensitivity analyses: removing studies with extreme ORs or with the highest weight or including additional studies with wide or ill-defined exposure time windows.

28 In order to explore the impact of studies with high risk of bias on the robustness of the results of the review, we will conduct sensitivity analyses by removing studies with a high risk of bias on sequence generation and blinding of outcome assessment and reanalysing the remaining studies to determine whether these factors effect the results.

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.

The trim and fill analysis method removes the smallest studies until a symmetric funnel plot is obtained; then, those removed studies are added back with their hypothetical "counterparts" to recalculate the meta-estimate that would have been obtained from a symmetric funnel plot (Duval and Tweedie 2000; Higgins et al. 2008).

Sensitivity analyses were conducted to see the effect of removing studies reporting 0% clustering, with only extrapulmonary TB cases, only Mycobacterium bovis cases, studies using the 'old 12' MIRU loci as part of their 15 loci, and studies assessed as having a high likelihood of bias (STROME-ID score less than 20).