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The file presents the optimization strategy used in matching the model to the ARDS patient data and the resultant parameter values for the different models tabulated for each patient.
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The parameters of the model are tabulated for a large variety of solutions of polymer glasses.
The Monte Carlo method uses vacancy jump frequencies which are calculated using an atomistic simulation method (the First Shell-Black/White model) and are tabulated for all possible jumps in all possible local environments.
Pr GC∣ ID, Gp) are constants, not depending on the disease model, which we have tabulated for a biallelic locus.
Furthermore, the prognostic accuracy (and its 95% confidence intervals (95% CIs)) was tabulated for both models (scoring system and decision-tree analysis) using a classical 2 × 2 table.
The best designs according to the proposed model-discrimination criteria are obtained and tabulated for practical use.
Bulk and surface energies are tabulated for each simulation to be used in future predictive mesoscale models of polymorphic alumina.
The OOB and external bootstrap errors, and their standard deviations, were tabulated for each of these models.
A linear model fit was applied and the top differentially expressed genes were tabulated for each contrast using the Benjamini and Hochberg method to correct the P-values.
Results are tabulated for these signals and illustrated by an example.
The model is then applied to predict basal strengthening of many other solutes versus temperature, with key parameters tabulated for general future use.
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