At European level attempts were made to address these challenges though the European Cluster Observatory that uses statistical measures to group 'emerging industries' (Ketels and Protsiv, 2014).
These approaches use statistical measures of inequality to determine the change in the population distribution of air toxic risks.
Thus, in addition to the ICC, it is important to use statistical measures such as the Standard Error of Measurement (SEM) and the Smallest Detectable Difference (SDD) to evaluate reliability [ 25].
"However tempting it may be, it is clinically meaningless and academically reckless to use such statistical measures to quantify actual numbers of avoidable deaths," it said.
"It is clinically meaningless and academically reckless to use such statistical measures to quantify actual numbers of avoidable deaths," the report said.
The professor took the spin and smears head on: "However tempting it may be, it is clinically meaningless and academically reckless to use such statistical measures to quantify actual numbers of avoidable deaths".
The NHS medical director has signalled: However tempting it may be, it is clinically meaningless and academically reckless to use such statistical measures to quantify actual numbers of avoidable deaths.
We then use some statistical measures to split the set of informative SNPs into two groups: highly informative SNPs and weak informative SNPs.
Similarly, in games between predators and prey (such as that developed by Alonzo [ 10]), we could use these statistical measures to explore the degree to which predator behaviour is determined by the state of the prey, and vice versa.
In this framework we are able to use standard statistical measures to evaluate precision, sensitivity, specificity, accuracy, and false discovery rate (FDR) by accounting for what we expect to observe in our data (given an homology percentage ratio, or testing for an increasing value of homology ratio) versus what we obtained from the tools.
