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MLBMA works best when the alternative models are structurally distinct and have diverse model predictions.
The two moderately informative models are structurally based on the unrestricted heterogeneous variance model and the variance priors are either frequentistic distribution approximations from within the MTC data or distributions previously derived from a large external empirical data set.
In short, such models are structurally problematic as they tend to promote the continuation of unsustainable, innovation-led consumptive growth.
Even though phenomenological, in a strict sense, conductance based neuron models are structurally close enough to the actual neuron membrane processes to raise the expectation that they may provide such models and allow predictions beyond a mere mimicry of the observed membrane potential dynamics.
Clinical models are structurally simple and emulate clinical data by considering only essential biological description.
In this case, around 17% of the models are structurally non-identifiable.
Similar(52)
To facilitate structure-functional analysis of genetic variations in kinase genes, all crystal structures and mutational models were structurally aligned using a java-based multiple alignment tool STRAP (http://www.charite.de/bioinf/strap) and TM-align algorithm [124].
These results are similar to those in the German general population, in which all of the tested models were structurally invariant between different age and gender groups [ 14].
All models were structurally aligned pairwise using TM-align [ 21] and a TMscore was used to derive a distance (D = 1-TMscore).
The unit of analysis was 'cells', and our models were structurally identical to models with individuals at level 1. 23 The response variable, proportion of deaths in each cell, was modelled with allowances made for the varying denominator in each cell.
Thus the parameters in this model are structurally non-identifiable when x20 = x30 = 0.
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