As evident above from the discussion regarding double temporal integration, a process of prospective continuous HRV monitoring will necessarily lead to a delay inherent to the interval of time necessary to characterize variability and thus the underlying system.
However, the fundamental difference is the interpretation of intervals of variability associated with risk estimates.
This is because the predicted means of individuals in phase D were rather high, and for outcomes bounded on the unit interval, the variability of scores declines as the mean approaches one.
That approach leaves the interval-to-interval variability of an analytical method out of consideration; however, generally, the reproducibility is the most significant source of the fluctuation of the pharmaceutical stability data.
With the advantages of rapid sample preparation procedures, automatic image analysis and data analysis, this method is applicable to study the molecular mechanism of variability of heart beat interval as well as to screen side-effect of cardiotoxicity of non-cardiovascular drugs.
In the first instance, levels of change >95% confidence intervals of baseline variability (from reproducibility studies) for each technique need to be set in order to measure treatment-induced changes that specifically relate to drug activity.
int., confidence interval; CV, coefficient of variability; min, minimum; max, maximum).
These corrected differences are on the order of the confidence interval of single ant measurements, implying that it is possible to practically eliminate the inter-ant variability.
This meaning, that in the clinical setting the favorable and unfavorable consequences of lengthening the administration interval on hemoglobin variability tend to counterbalance each other, contrarily to the results of our previous published pharmacokinetic computer-based simulation.
In comparison, capillary BG readings provide single, intermittent measurements, which may not capture intervals of extreme variability or nocturnal events.
