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Our fast, pre-reconstruction method can thus provide important sample parameters that can help improve performance of tomographic reconstruction of a wide range of samples.
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Such a design can help quantify the influence of and optimize breath sampling parameters that will reduce total measurement variability and enhance overall forensic confidence.
For example, if c =0.1, and α =0.05, then we would choose permutation sampling parameters that guarantee the standard error in estimating p-values at 0.05 be less than cα = 0.005.
Nevertheless, the Morris approach can a priori be sensitive to sampling design parameters that are (generally arbitrarily) chosen by the modeller.
Ensemble modeling proved to be a feasible method to separate samples with flux parameters that could be estimated from samples with poor information on the fluxes in the system.
Although the sperm counts were normal in more than half of the available samples, other semen parameters that may influence quality were not assessed.
As an indicator of the model's robustness with respect to the phenotype of a particular yeast strain we introduce the "acceptance ratio" for an experimental constraint, which is simply the fraction of sample parameter vectors that are consistent with an observed phenotype [ 28, 29].
Because of (a), tumor cell content and sample DNA degradation are parameters that can not be changed for a submitted diagnostic material; because of (b), diagnostic samples with "unfavorable" DNA quality or low tumor cell content can not be lightly excluded from analysis.
It was therefore attempted to correlate ageing, or the age, of the cellulosic samples with age-linked parameters that could be measured experimentally, if possible using relatively simple procedures and thus avoiding expensive apparatus [5 7].
More specifically, we will also demonstrate how to design a pediatric clinical trial with an appropriate number of subjects to ensure adequate statistical power with a sufficient number of optimally timed samples to yield PK/PD parameters that are unbiased and precise, which can then be used to facilitate the creation/revision of drug dosing recommendations.
To improve assay quality we focused initially on parameters that affected sample population variability.
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