A method for designing multiple inputs for real-time dynamic system identification in the frequency domain was developed and demonstrated.
The proposed method of designing multiple gene-fusion constructs over a wide range of molarity allows granular performance analyses of multiple fusion-detection algorithms.
Mixed method designs are required to augment multiple statistical level designs before we can know the intersecting set of determinants to health behaviors.
In light of these caveats, we propose a new function that analyzes SAGE data by combining the mathematical set theory and logic [21] with a unique "multi-pool method" designed to analyze multiple pools of pair-wise case control comparisons individually.
A great majority of methods designed for Multiple Criteria Decision Aiding (MCDA) assume that all assessment criteria are considered at the same level, however, decision problems encountered in practice often impose a hierarchical structure of criteria.
A great majority of methods designed for Multiple Criteria Decision Aiding (MCDA) assume that all evaluation criteria are considered at the same level, however, it is often the case that a practical application is imposing a hierarchical structure of criteria.
The objective of our study was to present a multiple method design to examine users' eco-driving behaviour while driving a battery electric vehicle in a critical range situation.
Here, we applied the posterior probability of linkage (PPL), a method designed specifically to analyze multiple heterogeneous data sets, to the Autism Genetic Resource Exchange collection of families by analyzing six clinically defined subsets of the data and updating the PPL sequentially over the subsets.
Due to the complexity of evaluating health services interventions, a multiple method design (QUANT + qual) was used to examine the interplay among the home care context, implementation of the nurse-led strategy, and outcomes [ 98].
In a posteriori comparisons, the p-value should be adjusted to maintain an adequate experimentwise error rate using a method designed specifically to correct for multiple testing.
