Sentence examples for model variables at from inspiring English sources

Exact(5)

Since the purpose of these regressions is to explore the predictability of the model variables at a general level, all participants have been pooled together, regardless of the paradigm and the duration conditions.

Data are presented for model variables at baseline (0 weeks), end of care (6 weeks), and subsequent follow-up (12 weeks).

Programmatically, model variables at grid points in the list are updated in a second phase after updating all grid points under whichever numerical method is chosen to implement the cardiac reaction-diffusion equations.

To enhance this analysis we focused on scatter plots of model variables at the final time of our experiments (i.e. t = 50) versus serum variation, coloring the plot points in accordance with serum levels.

The relationship between remission and the different explanatory model variables, at 60 months, remained statistically significant even after adjusting for regularity of follow up over the 5-year period.

Similar(55)

Since sensitivity analysis involves a calculation of how each initial condition and each parameter used in the model influences each model variable at each moment in time, vast amounts of data are generated.

These estimates are made holding all other model variables constant at their respective means.

Q2: Was there any potential manifestation of the cause of death in the model variables recorded at presentation?

From this regression analysis, we calculated the effect of PCB-PER8 on TSH and FT4 in both the breast-fed and non-breast-fed adolescents while holding all other model variables constant at their respective means.

In 111/179 cases (rows 1 and 2) there was a potential manifestation of the cause of death in the model variables recorded at presentation, suggesting that the model variables identified a risk of death but may not have appropriately predicted the risk of death in 62% (95% CI 55%to69%9%) of cases.

In particular, all the traditional gravity model variables are significant at 1% and have the expected signs: migration depends negatively on distance but positively on common border and language.

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