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Then, in a second step, a statistical Montecarlo method is used in order to propagate the model fitting parameter uncertainty through the model.
Model fitting parameter estimation was performed in a hierarchical model with empirical priors treating parameters as a random effect.
Within the time-frame used for model fitting, parameter estimates resulted in a good agreement of model and survival data of the two randomised clinical trials NHL-B2 and RICOVER-60 comprising five different chemotherapy regimens (Pfreundschuh et al. 2004b, 2008).
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The model fitting parameters provide sufficient flexibility to accurately reproduce the dynamics of different units in industrial plants.
A, K and bg are the model fitting parameters, c is the target jth concentration in pM.
The Langmuir isotherm is a hyperbolic response function (Eq. 1) where Ij is the signal intensity from the probes at target concentration j. a, b and d are the model fitting parameters, and c is the target jth concentration in pM.
In absence of precise estimates, we use the HSV-2 transmission probability per coital act as one of the model fitting parameters, but constrain its value to be in the range suggested by the empirical data.
In the microarray context, it is generally formulated as a hyperbolic function: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0014464.e001.PNG" class= inline-graphic"/> where I is the signal intensity from a given microarray probe at target concentration c, and a, b and d are the model fitting parameters.
This model was used to propose constraints on model fitting parameters but was not predictive due to the small size scale, which limited the scope for experimental validation.
Statistical comparisons among each model fitted parameter were performed using the t-test (Systat 11, Richmond, VA), for which a p value of <0.05 was considered significant.
The resulting model fit parameters were compared to correctly time-matched and calibrated data fitting results.
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