Sentence examples for models of insufficient from inspiring English sources

It must also be recognized that top-down models of insufficient richness may excessively constrain model space and lose predictive ability.

Only 91 W × M F2 animals were measured for fat cell traits, which were not adjusted for the effects of season and litter number in our models because of insufficient connectedness of these independent variables.

Even if samples with the same allele frequencies are simulated, the individuals generated may not have enough genetic variations to allow adequate modeling with a GxE model because of insufficient combinations of genetic and environmental factors.

It may be difficult to estimate the accurate volume changes of the two-crack model because of insufficient data in the mountain area.

P-glycoprotein activity was not explicitly represented in the model because of insufficient data to uniquely identify parameters.

It might be tempting to interpret these underidentified models as signs of insufficient power due to the rather small N of 72 provided by Browne et al. [ 1] but we think it would be more reasonable to see these underidentified models as artifacts of the limited variety of variables in the Browne et al. [ 1] data.

Evidence of the anricancer efficacy of silver nanoparticles in vivo using animal models of cancer is insufficient and warrants further studies.

Although current experimental models of acidosis are insufficient to explain trauma and shock-induced acidosis, Martini et al. showed that, in a pig model, HCl-induced acidosis resulted in premature degradation of fibrinogen [ 33].

These deficiencies have their roots in the use of inadequate probabilistic models and insufficient understanding of modern concepts of risk analysis, as have been revealed in some recent large scale studies.

5 Challenges for early development of PBPK models usually arise because of insufficient ADME information, which leads to the incorporation of multiple assumptions and calculated parameters.

Model 1: adjusted odds ratios (OR) and 95% confidence interval (CI) were obtained from separate multivariate logistic models that included days of insufficient sleep and age, sex, race/ethnicity, and education as covariates.