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The background and concentration parameters were both fit within a single global routine (rather than estimating the background parameter before computing gene expression measures), and the model that best described the observed data selected.
In an experimental framework, this is analogous to having a set of inducible devices whose population-averaged transfer function at the steady-state has been identified via central tendency measures and the model of noise affecting it is known.
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The following sections describe these measures and the models to assess their relationships.
A comparison between the measured and the model results is presented in Figure 6 for the three bands.
Good agreement between the data measured and the model outputs were achieved by an ARX (2,2,1) auto-regression model.
The dynamic behavior of an actual continuous stirred tank reactor in which a second-order reaction takes place was measured and the model which describes the micromixing phenomena within the reactor was identified.
Since the M-target and the drug-M-target complex are located on the cell surface, they can rarely be measured, and the model also assumes that the total concentration of M-target was constant.
The 'Methods' section deals with the data, the variables measure and the models' economic specification.
Interestingly, the levels of agreement between the three individual-level measures of health literacy were comparable with those between the individual measures and the predictive model.
The difference in construct measured by the two outcome measures and the statistic model applied are likely to influence the results.
Our model predictions followed the general trend of the measured data, and the model prediction range overlapped with the measured data range for both endpoints at each TB concentration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com