Sentence examples for model analysis demonstrated from inspiring English sources

Linear mixed model analysis demonstrated that AL decreased after treatment was commenced in patients with SCZ and FEP between the baseline assessment and the 6 and 12-week follow-up.

Linear model analysis demonstrated that the type of camera but not the acquisition mode (i.e. single- or dual-isotope) impacted on volume measurements.

Model analysis demonstrated that a temporal-spatial concept of TGF-β1 expression/signaling was crucial to understanding its roles in epidermal wound healing.

Model analysis demonstrated that NHK stem cells initially attached and formed small tight colonies with the help of co-seeded i3T3s in G-FCS (Figure 5D).

Model analysis demonstrated that both the gradual restoration of BM and degradation of latent TGF-β1 in the matrix were the main mechanisms.

Model analysis demonstrated that this was because the cells on the migration tongue also proliferated and there was only one single NHK population, which was both proliferative and motile.

The model analysis demonstrates that the in the former case the level of spatial clustering of conserved land is reduced while in the latter case it is increased.

Starting from the simple core network that is able to show bistability (outlined in Figure 1, frame (A)) our mathematical model analysis demonstrates the existence of several, qualitatively different mechanisms that are able to explain the experimentally observed variability of Nanog expression in ES cells.

The results from this modified UKPDS model analysis demonstrate that when the risk equations were adjusted for prior cardiovascular history, the predictions for MACE were more consistent between studies (Table 3B) and closer to the mean regression line.

Mixed-model analysis demonstrated significant effects of muscle, age, and interaction of muscle versus age (P < 0.001, P = 0.043. and P = 0.02, respectively).

Generalized mixed-model analysis demonstrated that abnormal peripheral perfusion on D2 and D3 was an independent predictor of severe postoperative complications (D2 odds ratio (OR) = 8.4, 95% CI = 2.7 to 25.9; D2 OR = 6.4, 95% CI = 2.1 to 19.6).