However, the actual decision making ('how' and 'why'), was not made accessible – the cluster of considerations were only identified through this study.
Priority setting decisions involve complex clusters of many considerations that are shaped by the specific institution and process in which they work and are often decision-specific [ 24].
A hierarchical cluster analysis was used to identify clusters of individuals taking into consideration the two DCt values corresponding to the ICCA.SRa and ICCA.SRb subregions.
Not all studies were able to support the Population Mixing Hypothesis (Law et al., 2003; Dockerty, 2009); however, given the lack of success in identifying other environmental causes of clusters to date, consideration of infectious agents for leukemia, and possibly for certain other cancer types, is warranted.
A model-based clustering method implemented in the program STRUCTURE version 2.2 [62] [64] was used to determine the probability of each individual (non-admixture models) or the proportion of each individual's genome (admixture model) from homogenous clusters without consideration of sampling locations for both the SSR and the AFLP data sets.
In this study, by taking the actual, experimentally confirmed sizes of the clusters into consideration, the minimum number of homologous gene pairs was set to 3, and the values 15, 25, 35, 45, 55 and 65 were used for the maximum number of genes contained in a gene cluster (Param3).
This was done by using a hierarchical cluster analysis in order to identify clusters of individuals, and by taking into consideration the two DCt values corresponding to the ICCA.SRa and ICCA.SRb subregions, respectively.
In addition, Price et al. (2008) have shown in their study of US Americans of European descent that the consideration of three clusters of individuals, which roughly corresponded to Northwest Europe, Southeast Europe and Ashkenazi Jewish ancestry, may be sufficient to correct for most of the population stratification affecting genetic association studies.
The relationship between the wind speed field and VIV mode is obtained by the clustering with consideration of nonuniformity of the wind speed.
The first model is one that accepts pluralism and therefore, creates clusters of communities like Molenbeek in Belgium who apply their own laws and principles, without consideration of the laws set by the country in which they live.
