Sentence examples for robustness of summary from inspiring English sources

However, more research is needed to better understand the extent of robustness of summary methods to recombination events.

Use of false-positive report probability value (FPRP) (Wacholder et al, 2004), which integrates the earlier probability for association and statistical power, provides one method for assessing the robustness of summary estimates derived from pooled analyses.

34 Robustness of summary findings was examined by sensitivity analyses: influence analysis, 32 fixed effects meta-analysis, analysis using millilitres per day as a unit, analysis without studies with a high overall risk of bias, and analysis incorporating measures of uncertainty in adjustment for within person dietary variations and diagnosis of type 2 diabetes.

"One study removed" sensitivity analyses were conducted to assess the robustness of the summary odds ratio.

Although a pooled per-allele OR was suggestive of a modest increase in the risk of CHD of 1.08 (95% CI, 1.01 to 1.15), the robustness of this summary estimate is uncertain.

Several sensitivity analyses (especially through exclusion of studies) were conducted to assess the robustness of the summary estimates.

35 To explore the evolution and robustness of the summary effect estimates over time, we conducted cumulative and recursive cumulative meta-analyses.

Strengths of this meta-analysis are including 24 published studies with a large number of cases and controls, presenting data on several relevant methodologic aspects of these studies, subgroup analyses according to predefined criteria, and using other methods to examine the robustness of the summary statistics.

The robustness of the summary estimates after adjusting for tobacco use, and the higher relative risk in never-smokers, suggest that residual confounding by tobacco use is unlikely and that occupation as a painter is independently associated with the risk of lung cancer.

We will also conduct sensitivity analyses to examine the robustness of the random effects summary measure by checking the results under a fixed effect model, and report where material differences between the models occur.

In summary, the current study revealed the evidence to support the robustness of the robust Poisson model in various scenarios.