Sentence examples for plausible level of from inspiring English sources

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Exact(5)

But Cas and Salford have at least secured planning permission, and come up with a reasonably plausible level of detail.

There is no plausible level of spending cuts to offset the damage; the result would be chronic deficits and debilitating debt.

Error potential severity, based on the plausible level of patient injury, was classified using the Healthcare Failure Mode and Effect Analysis HFMEAA) Severity Rating Scale [ 15] (Table  2).

Sensitivity analyses were conducted to determine whether base case cost-effectiveness estimates (i.e. ICERs) would change substantially given a plausible level of variation in costs and outcomes.

Indeed, both EMu and NMF often attribute at least a small number of mutations to every available signature, which for many exposures does not correspond to a biologically plausible level of exposure.

Similar(55)

A series of sensitivity and uncertainty analyses were carried out in order to examine the impact of plausible levels of variability around baseline estimates.

In contrast, in Uganda, the two mathematical models of incidence produced plausible levels of incidence (e.g., incidence estimates were approximately10% of prevalence), but assay-derived and cohort-derived incidence estimates were both lower, falling at approximately 4 5% of the prevalence level.

We found plausible levels of nutrient intakes and in line with expectations, a large proportion of subjects did not meet healthy diet recommendations.

Finally, by entering costs and effectiveness data into a stochastic uncertainty framework, it is possible to assess the impact of plausible levels of variability around reported point estimates.

110, 113 Models that include another mechanism of acquired immunity induction of CD4+ T helper (TH) 17 cells not specific to the capsule 114 enable coexistence at plausible levels of antibody protection.

Sensitivity analysis is a flexible approach to addressing omission of covariates that makes it possible to assess the impact of 'clinically plausible' levels of unmeasured confounding and other sources of bias on the treatment estimates (Groenwold, 2010).

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