Sentence examples for more sensitive variables from inspiring English sources

However, the sensitivity of StO2 variables to detect these situations of global hypoperfusion is considerably low, and therefore the absolute StO2 value has been proposed as an initial tool to rapidly and noninvasively detect hypoperfusion states, but only while other more sensitive variables are not available [ 23, 51, 52].

It is important to note that rETR was more sensitive variable to the Se treatment as compared to the maximum photochemical yield Fv/Fm (Fig. 4).

A previous study in a Turkish population showed that the WHtR is the most predictive indicator among the anthropometric indices; however, visceral fat measured with bioimpedance analysis is a more sensitive variable than the WHtR [ 16].

Thus, one option for further investigation would be to replicate the intervention in Experiment 1 with more sensitive dependent variables.

This variability may have been due to the fact that detection of antigen-specific T cells may be more sensitive to variables of compartmentalization (blood vs. trafficking to tissues) and the timing of sample acquisition for immune response analysis (generally 4 weeks, rather than 2 weeks, after vaccination) may have not been optimal for detecting peak cytotoxic T-cell responses.

Therefore, a better understanding of the genetics of this parasite is required to allow the design of more sensitive and variable subtyping tools, that in turn may help unravel the complex epidemiology of this infection.

It appears that force at failure is a more sensitive outcome variable, summarising the effects of subtle morphological changes owing to treatment.

Interestingly, there were similar significant decreases in monthly snacking frequency at follow-up relative to screening in both groups, suggesting that monthly FFQs may be a more sensitive outcome variable than daily FFQs.

Also the current study provided evidence that WHtR may be a more sensitive outcome variable than BMI for studies that investigate the association between breastfeeding and weight distribution or status.

Results showed that the model is more sensitive to process variables than environmental variables.

Table 2 shows that both the inclusion frequency and the sequence in which indicators were retained varied considerably between MI and B. For MI, the inclusion frequency varied from 27%to100%0%, whereas that range was 51.8% to 100% for B. This indicates that MI is more sensitive to distinguish variables with a strong effect from variables with a weak effect on the outcome.