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Thus, both models appear to be comparably well suited to explore PD in educational LSAs.
Both models appear to be successful as a whole (Table 1), but they show contrasting results when the historical catalog is divided into two different time-periods (Table 3).
Interestingly, both models appear to follow a central pathogenic pathway that involves B-cell autoreactivity and arthritogenic antibodies.
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However, in earlier positions, the cumulated class probabilities for both models appeared to be almost identical (see Fig. 2).
To test the proposed methodologies and also to better understand the results, sensitivity and robustness analyses are performed on both the aggregate indicators; although associating different weights to the various sub-indicators, both the models appear to be robust against uniform random noise.
After fitting to clinical trial data, both the +IM and −IM models appear to be able to recapitulate the dose-dependent decline of viral titers after AMT or OP treatment.
In particular, both these localized smoothing models appear to fit the data better than the global smoothing BYM model, with differences of 11.6 and 8.2, respectively.
Both classic and intermediate models appear to be useful to study the mechanism of brain injury and potential treatment strategies for maple syrup urine disease.
A framework for incorporating causally relevant biological information into benzene risk assessment is introduced, and it is shown that both pharmacokinetic and hematotoxic models appear to be consistent with the hypothesis that sufficiently low concentrations of inhaled benzene do not create and excess risk.
At a general level, the results from both our simple and extended models appear to support these previous observations: frequent re-exposure can yield stable and persistent elevated immune memory (Figures 4 and 5).
In fact, the models appear to underestimate the increase in intense rain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com