Sentence examples for modeling strategy described 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.

The results are internally consistent and qualitatively agree with those from previous analyses over a shorter time period (Stölzel et al. 2003; Wichmann et al. 2000) with respect to UFP, despite the slightly different modeling strategy described above.

Tables 5– 7 show the ORs and 95% confidence intervals (CIs) examining the relationship between area of residence (target vs. comparison) and having an immunoglobulin (IgA, IgG, IgM) test result below or above the reference range in six geographic areas using the different modeling strategies described above.

We hypothesized that the presence or absence of dengue was associated with one or more of these factors; each factor was presented as a suite of census variables, representing testable variable ensemble hypotheses in a model selection framework - a modeling strategy that has been previously described [ 22].

The paper describes a modeling strategy for multi-scale analysis and optimization of stiffened panels, made of three-dimensional woven composites.

In addition, in order to describe the time-decomposition modeling strategy of the MM-RBF network, the output of the gate model, i.e., the model choosing results are obtained from the posterior fitting accuracy.

Comparisons between algorithms have been made difficult due to differences in which risk factors are included in the model, differences in the type of modeling strategy used, and the variety of measures used to describe the success of the algorithms.

The flexibility of our modeling strategy is demonstrated by the fact that it straightforwardly derives previously described supervised normalization models for more specialized experimental designs and technologies (Baird et al., 2004; Dabney and Storey, 2007; Wolfinger et al., 2001).

We can distinguish two kinds of modeling strategy in the current literature.

Third, although our modeling strategy accounts for self selection, it is restricted to observables.

JC initiated the research, designed the modeling strategy, and supervised all the work.