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Scale-separating operators generated by level-transfer operators from plain aggregation algebraic multigrid methods enable the application of modeling terms to selected scale groups (here, the smaller of the resolved scales) in a purely algebraic way.
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We assessed nonlinear trends in the data using the same modeling strategy described above, including model terms to examine the interaction between TIME and categories of arsenic exposure variables (e.g., dummy variables for arsenic tertiles), as well as linearity of the time effect by including an additional interaction term between As0 j and TIME.
An identical approach was used to obtain an estimate of the contribution of other model terms to population growth.
These images were used in a higher-level mixed effects analysis with Participant, Surgery (Presurgery/Left/Right tooth surgery) and Session-pair (Pair 1[S2,S3]/Pair 2[S4,S5]) as model terms, to assess changes in rCBF relating to post-surgical pain and rCBF differences following left, compared to right TME.
Both analyses incorporated model terms to account for World Health Organization performance status, sex, histology and smoking status.
Preventing these necessitates user-centered design of the representations used in this communication, and attention to the translation of user terms to model terms and vice versa.
To decompose the variability attributable to model terms, mixed-effect models were fitted with the restricted maximum likelihood method.
Our first level model and caller wellbeing model (model 3) were also insensitive to the approach used to select model terms, although the model using the attitudes and effectiveness of service characteristics (model 2) showed some sensitivity to model terms when different modelling and selection approaches were used, possibly due to the larger number of inter-related terms considered.
PMRA shares a theoretical basis with BM25 in that both use Poisson distributions to model term frequencies.
Table 3 presents the statistical characteristics of the selected significant model's terms to characterize the trifluralin degradation efficiency as a function of the variables examined.
The model included terms to estimate cohort effects.
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