One of the multiple variable models was chosen as the mapping model based upon explanation of the maximum amount of variability in the EQ-5D index with the fewest variables, as well as relatively low RMSE and MAE values.
We developed an analytic model based on explanations of Figures 5, 6, and 7 to measure HOL and mobility-related signaling overheads of HIP, Micro-HIP, and our scheme, respectively.
This integrated cell model provides biophysically based explanations of electrical, chemical, and mechanical phenomena in cerebrovascular smooth muscle, and has considerable utility as an adjunct to laboratory research and experimental design.
Due to the complexity of explaining a preference model based on utility theory, several explanation reasonings are necessary to cover all cases – ranging from situations where the prescription is trivial to situations where the prescription is much more tight.
For example, a recent model based on RBC limitation as an explanation for the dynamics of single-clone malaria infection in CD4+ T cell-depleted mice could not accurately capture all of the dynamics seen in experiments involving co-infection with two clones (Mideo et al., 2008).
As a secondary confirmation, to further exclude RPE based explanations, we confirmed that any effects remained significant in an augmented model which also contained un/signed RPEs.
An alternative explanation is provided by a model based on statistical connectivity (Ringach 2004, 2007; Paik and Ringach 2011).
A thorough explanation of the different Markov chain model based genomic signatures can be found in [ 12].
A mechanical model based on fracture energy provides the background for the theoretical explanation of the debonding phenomena.
We developed a theoretically derived model based on the shifts in attribute valuation as a potential explanation for all context effects.
The authors present a simple explanation of the findings on the RC circuit model based on well-established electromagnetic theory.
