Outlier detection using an inter quantile range (IQR) is a basic and widely used technique in many scientific fields because it has been found empirically to be useful for outlier elimination.
Although testing for the convergence of health expenditure determinants empirically has been useful investigations, we believe that theoretical foundations are required to link the convergence tests in these factors.
The ARRM has led to useful empirically supported insights regarding leverage points for risk behavior change and has identified correlates of HIV risk behavior that should be considered in designing interventions [32].
Although impressive, this theorizing has not resulted in useful, empirically validated tools to redress this problem [ 97].
The models developed using qualitative data may prove useful once empirically tested, although these were all based on patients with chronic health problems[ 71, 75, 77].
It seems useful to empirically overcome spatial limitations of fixed aggregation units by introducing advanced spatial measurement techniques and adequate data sources.
Furthermore, as one advantage of the approach is the generation of single molecule sequences, it is useful to empirically determine how many sequences can be expected from each of a set of PCR products that are pooled in equimolar concentration.
Murasaki has already been used in several projects including orthologous segment mapping [21], and a study of Pseudomonas aeruginosa that revealed the occurrences of large inversions in various P. aeruginosa chromosomes [29]; so it is known empirically to be a useful tool.
Longitudinal designs will be useful to empirically test this possibility.
