Sentence examples for plausible difference from inspiring English sources

20 Cost-minimisation analysis is appropriate only if the difference in cost is so large that no plausible difference in efficacy could cause the more costly treatment to be cost-effective.

We have opted for a 20 percentage point difference given these previous studies on CMD and our judgement that this is both a clinically significant and plausible difference in MUVD rates.

Moreover, in order to control for plausible differences in attitude between boys and girls and students with different SES, I related gender and SES to attitude as independent variables.

In this study, firstly, we intend to distinguish different status groups of women in Turkey by using a range of indicators which influence women's status and empowerment; to investigate plausible differences in the knowledge and use of family planning methods and in fertility behaviour among women's different status groups.

An analysis of gene expression over time identified statistically significant and biologically plausible differences in host gene expression induced by ETEC infection.

Drug repositioning analysis identified several drug classes with potential utility in augmenting immune response or mitigating symptoms.There are statistically significant and biologically plausible differences in host gene expression induced by ETEC infection.

Pöpping and colleagues [34] show decreases over the past 35 years in the risk of postoperative pneumonia with systemic analgesia, which has lessened the potential benefits of epidural analgesia and would necessitate larger sample sizes to detect clinically relevant and plausible differences in outcomes between analgesic modalities.

20 Secondly, the recruited sample did not give sufficient power to detect plausible differences in discomfort.

We simulated plausible differences in follow-up to assess how this would induce an artificial association with survival.

A sample size of 750 (375 per group) gives adequate statistical power to detect clinically important and plausible differences in the three primary measures of outcome.

Overall, there were no statistically significant, consistent and plausible differences in the results of meta-analyses between subgroups in terms of types of interventions, patient characteristics, care providers, study design features and quality.