In addition to classical performance measures like two group comparisons and ROC curves, more clinically meaningful statistical approaches have been put forward [ 44, 48].
It is important to note that fold change is not necessarily a biologically more meaningful measure than statistical significance, as some genes can have their effects at very low level of fold changes while some other genes need to function at a much higher level.
Nodes in hierarchies based on substructures are able to be labelled with the relevant substructure that is shared for all members of the class; thus, such classes are more meaningful to humans than statistical or similarity-based classes.
It is illustrated how both approaches provide more meaningful comparison outcomes than the statistical t-test for differences.
Conversely, the smaller the number of locations (and therefore crimes) included, (a) the more likely the sample is to be biased in some way (Spatz Widom 1989, 160) and (b) the more difficult it is to conduct meaningful statistical tests (Brown 1989, 116).
For example, a gene that is listed in two studies that employ different microarray platforms and statistical methods could be considered more meaningful than a gene that is listed in two studies that employ the same microarray platform and statistical methodology.
This process is for selecting more meaningful words and phrases based on the statistical score.
The study had insufficient women of the age of 55 years or more to allow further subgroup analysis with meaningful statistical power.
Declines in two or more ADLs exhibiting a three-unit decline are more frequent (more than 0.50percentt) but, still very small and incapable of providing meaningful statistical analyses.
Statistical methods are described that provide a more meaningful assessment of the impact of measurement variability in the analytic process versus the variability related to changes induced by pharmacologic interventions.
