We also show that the models predict only small proton leaks even in the absence of turnover.
Several models for prediction of acute coronary syndrome (ACS) among chest pain patients in the emergency department (ED) have been presented, but many models predict only the likelihood of acute myocardial infarction, or include a large number of variables, which make them less than optimal for implementation at a busy ED.
By contrast, the food effect estimated by simulating the plasma profiles with the PBPK model predicted only a slight delay in the peak plasma level (∼1 h), and modest increases in the Cmax and AUC of ∼1.9-fold and 1.3-fold in the fed state, respectively.
The model predicted only an effect on ERK1/2 for the H. pylori stimulus, but not for HGF treatment.
The model predicted only 49% of the breast cancers that actually occurred in the screened group of 1,900 women.
Contrary to our expectation the model predicted only a slight increase in relative risk with increasing duration of passive exposure.
It should be noted that the pseudo R for the model was only.025, indicating that, despite having four statistically significant predictor variables included, the overall model predicted only a very small portion of the variance in the outcome variable.
As with the multivariable model for A level tariff prediction, it should be noted that the R for the model was only.088, indicating that, even with six statistically significant predictor variables included, the overall model predicted only a small portion of the variance in the outcome variable.
Virtually screening the active DRD2 model predicted only two weak agonists, as well as an inverse-agonist (Table 2, Figure 4); hit rates and potencies were far lower when compared to the screen of the active β2AR structure and as compared to a similar screen of an inactive DRD3 model templated on the inactive β2AR structure.
GSM TIP also shows only the positive disturbances, but the IRI model predicts only the negative disturbances.
