Secondly, while flagellin seems to be always present in CF airways, it is difficult to measure its contribution to inflammation (IL-8 measurements) and lung function deterioration, since we could not correlate amounts present with the level of respiratory insufficiency nor with the presence of a pulmonary exacerbation.
For instance, for the job-separation rate, we construct a counterfactual unemployment (tilde {u}^{EU}_{t,i}=uleft (hat {lambda }_{t,i}^{EU},bar {lambda }_{i}^{EI},bar {lambda }_{i}^{UE},bar {lambda }_{i}^{UI},bar {lambda }_{i}^{IE},bar {lambda }_{i}^{IU}right)) and measure its contribution by (frac {Covleft (tilde {u}_{t,i},tilde {u}^{EU}_{t,i}right)}{Varleft (tilde {u}_{t,i}right)}).
The increase of prediction error (MSEOOB) after the permutation was used to measure its contribution to the prediction accuracy.
In a network, centralities of a node, including degree, betweeness and closeness, are used to measure its contribution to the communication between other nodes.
We modeled over or under expression of mRNAs and miRNAs, and genetic alternations as deletions of a node in the network which will cause dynamical changes in the network and used a damage value of the node to measure its contribution to the robustness of the network.
How can your unit best measure its contribution?
Attributable fraction assesses the impact of exposure by measuring its contribution to the total incidence under exposure [ 18], so it is used to estimate the proportion of exposed cases for whom the disease could be attributed to the exposure of interest.
The latter regards the sector as a supplier of innovation and measures its contribution to productivity growth in other sectors.
To this end, we defined a marginal relevance index that measured its contribution to the gene forest and derived a formula called ensemble vote, FV, which was the weighted frequency estimate of a putative disease gene that appeared in the trees of the forest.
A bundle's utility measures its expected contribution in maximizing a metric such as delay.
Briefly, this approach takes one feature out and measures its relative importance and contribution to the model.
