Sentence examples for important overestimation from inspiring English sources

This difference can be explained by loss of muscle mass with decreased creatinine production and results in an important overestimation of recovery.

There is an important overestimation in all range of probabilities for the detection of any PCa, due to the difference in the prevalence of PCa between the Hansen and the IVO cohorts.

Here, we have shown that this leads to an important overestimation of the fraction of positively selected sites, due to a higher fraction of misaligned positions in more indel-rich alignments.

Understanding why they do so is important since such overestimation is likely to be linked to later-life outcomes.

Response: We are thankful to reviewer for raising important query on overestimation of models performance.

While marital infidelity is the most important correlate of overestimation of individual and spousal HIV risk, during pregnancy, concerns regarding partners' HIV status may be superseded by the reduced need for contraception [ 13].

Therefore, some executive functions other than those indicated by MMSE may have played an important role in producing overestimation, or lesser underestimation, of physical ability in older adults.

This approach has additional important problems such as the overestimation of the prognostic importance of the covariate and multiple testing issues that might be accounted for [ 18] TME allows the inspection of the covariates dichotomizing them based in any of the previous options.

Skeletal maturity is important in order to prevent overestimation of repair response due to endogenous healing.

Analysis of Platonic particles has previously shown that the sphericity of the particle is an important parameter in determining the overestimation of the ITZ thickness, but this raises the question of whether sphericity is sufficient to uniquely characterize the influence of aggregate shape.

The consequences of overestimation are especially important as they can lead to unacceptable morbidity and mortality.