Sentence examples for in favour of models from inspiring English sources

Hence, we question the traditional view according to which spatio-temporal interpolation is achieved by monocular first-order motion-energy detectors in favour of models featuring binocular motion and form detection.

They found no clear evidence in favour of any particular model, though there was a trend in favour of models based upon strong integration of the orthopaedic and the geriatric service.

Models C and A are clearly more likely than model B and over patients, there is strong evidence in favour of model C over model A and B. Assuming that all patients in the group are representative of IGE we generalized the results of group analysis to the population level.

This finding became more evident at the group and population level so that the evidence in favour of model C (GSW as autonomous input to precuneus) was significantly higher than for models A (GSW as autonomous input to thalamus) and B (GSW as autonomous input to vmPFC).

Chi-square difference test indicated a significant difference in favour of Model 4a (p < 0.001).

The larger the wi, the more evidence existed in favour of model i.

Bayes factors can be calculated from the last population and according to the conventional interpretation of Bayes factors (Kass and Raftery, 1995), it can be concluded that there is strong evidence in favour of model 3 compared to model 1, positive evidence in favour of model 3 compared to model 2, and positive evidence in favour of model 2 compared to model 1.

All quality metrics comparing both models were in favour of model 2. The susceptibility to adjustment for readmission increased for longer review periods.

Since the model characteristics with regard to discrimination, calibration and explanatory power all were in favour of model 2, we recommend using model 2, although this preference does not necessarily invalidate model 1.

The obtained Bayes factor suggests that there is only very week evidence in favour of model 1 (Fig. 3d), which is in agreement with the result of Clancy and O'Neill (2007).

Despite a significant average quarterly increase of fourteen aeromedical services over the seven quarters following Intervention A (ω1 = 14.04, p = 0.017), Model 2 was rejected in favour of Model 1 due to an insignificant rate term (δ = −0.228, p = 0.646) suggesting that the effect did not occur gradually.