At present, there appears to be no ideal method of evaluating decision quality, defined as follows: 'the extent to which a decision reflects the considered preferences of a well-informed patient and is implemented' or alternatively 'whether the right person is being matched with the right treatment'.
The Euclidean metric and the optimal Minkowski metric are alternatively implemented in the regression model, and the results compared.
Flow cytometry-based crossmatch techniques which were alternatively implemented [ 4], however, have to be carefully interpreted due to other methodical difficulties.
PI and modified PI were implemented in all sections alternatively.
The WOMAC could, alternatively, be implemented using a 0 100 mm visual analogue scale for each item, with descriptive anchors of none and extreme.
This refined computation of the tract-level ED counts in BARD-C could alternatively be implemented by modifying the ED-visit probability of each individual who lives in tract i (i.e., modifying the Step 2 of Algorithm 1) prior to generating the number of cases for tract i as a binomial random variate.
On the other hand, the proposed model is difficult to solve due to its non-convexity and thus a new algorithm is developed to search one satisfying stationary solution through alternatively implementing one proximal operator operation and least-square fitting.
Firstly, by introducing the tight frame constraint into the popular dictionary learning model, the proposed tight frame learning model could be formulated as a nonconvex optimization problem which can be solved by alternatively implementing hard thresholding operation and singular value decomposition.
Alternatively, implementing higher quality quasi-experimental study designs (e.g. category B designs, which use control groups) or using segmented regression analysis may allow for more causal interpretation of observed associations than using quasi-experimental designs of lower quality (e.g. less than A3) [ 37, 40].
Alternatively, using our implemented segmentation algorithm, the SS particles were segmented by subtracting the DD density from the whole particle images.
