Sentence examples for effect of exclusions from inspiring English sources

Previous meta-epidemiological studies, which examined the effect of exclusions from the analysis, 1 6 8 9 10 might be reanalysed in the light of our results to examine the variability in bias associated with exclusions.

We will first turn to what became known as "yellow peril," one effect of exclusion laws that monitored the entrance of Asians into the United States and Canada during the late nineteenth and twentieth centuries, and the corresponding phenomenon of Orientalism, the fascination with a binary of Asia and the West.

In addition, the Commission has determined, based on consideration of the effect of exclusion on United States consumers, that until December 19 , 2013 HTC may import refurbished handsets to be provided to consumers as replacements under warranty or an insurance contract (whether the warranty or contract is offered by HTC, a carrier, or by a third party).

The present, much slighter, work heightens this effect of exclusion by its very form.

She said it wasn't foolishness, but rather the effect of exclusion that forced these girls into what ultimately proved to be life-threatening relationships.

However, the effect of exclusion of these three studies was much larger for SDNN, which results in a combined effect of −1.25% (95% CI −1.81%too −0.68%).

Lastly, the effect of exclusion of different types of disease categories was estimated by excluding various diseases one by one from all analyses.

We therefore investigated the effect of exclusion of these studies on the combined current smoking RR, where the problem is most severe (Table 17).

The statistical analyses investigated the role of various characteristics on the estimated risk of the three outcomes in relation to smoking, but did not formally test the effect of exclusion of specific studies with extreme RRs or large weights.

Iteration allows the evaluating of the effect of exclusion of every individual in the data set and the average of the resulting error is an unbiased evaluator of classification.

In order to separate the effect of exclusion from the effect of adjustment, results from model 2 and the unadjusted analysis were calculated also for those with complete data only.