Sentence examples for model terms to from inspiring English sources
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.
Analysis of variance (ANOVA) and regression surface analysis were conducted to determine the statistical significance of the model terms and to fit a regression relationship relating the experimental data to dependent variables resulting in desirable goals [43].
The model terms relating to field are preceded by an F and those relating to laboratory by an L. The unrandomised field and laboratory phase model terms are described in Table 3 and are treated as random effects in the model.
For Timoshenko-like refinement over the Euler Bernoulli beam model, terms up to the second order of the slenderness are kept in the enthalpy expression.
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.
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.
Li et al proposed a variable rates Poisson model, termed mseq, to fit the read count data.
