The ABC method computes the posterior probability distribution of a multivariate parameter, θ (composed of a combination of U, α, and β).
As the base case analysis was probabilistic and explored the effect of multivariate parameter uncertainty, figures presenting simulated ICERs as cost-effectiveness plane (CEP) and CEAF based on the probabilistic sensitivity analysis were appealing.
Active Cancer is the only comorbidity variable presented in the mortality model table due to low data counts, lack of predictability, or multivariate parameter estimates with biologically implausible behavior in the multivariate setting based on clinical knowledge of the other variables representing comorbidity.
However, even with increased throughput, only small subsets of the large multivariate parameter spaces often associated with catalyst and process characteristics can be sampled.
This methodology is termed simultaneous nearest neighbours (henceforth) and avoids the problems that frequently occur with non-parametric multivariate methodologies, like the curse of dimensionality, which makes it necessary to use huge amounts of data to estimate the parameters of multivariate models (see Hastie et al. 2001).
When the modification is cast as an additional forcing term on the original structure a system of multivariate polynomials in the parameters of the beam cross-section are revealed.
The parameters of multivariate autoregressive model have important interpretations.
In a multivariate analysis including all parameters of the univariate analysis, forward selection was performed with an entry of 0.25 and a stay of 0.15.
The independent prognostic value of DTC remains when it is assessed together with lymph node involvement [ 9] and in multivariate analysis with clinical parameters of survival in patients with stage I, II, and III disease [ 8].
This is best explained by the authors themselves (Haufe et al., 2014): "We have shown that the parameters of multivariate backward/decoding models cannot be interpreted in terms of the brain activity of interest alone, because they depend on all noise components in the data, too.
