Quantitative data on the components of biological variation (BV) are used for several purposes, including calculating the reference change value (RCV) required for the assessment of the significance of changes in serial results in an individual. Pathology may modify the set point in diseased patients and, more importantly, the variation around that set-point. Our aim was to collate all publishe...

Weber, Shafir, and Blais (2004) advocate use of the coefficient of variation (CV) as a measure of risk sensitivity and apply CV in a meta-analysis of data for risky choices by humans and animals. We critically re-examine the CV measure as either a normative or descriptive criterion for decision under risk. CV fails as a normative criterion because it violates first order stochastic dominance. W...

Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy application systems. In spite of many ranking methods, no one can rank fuzzy numbers with human intuition consistently in all cases. Shortcoming are found in some of the convenient methods for ranking triangular fuzzy numbers such as the coefficient of variation (CV index), distance between fuzzy set...

The objective of this study was to accurately determine the within- and between-patient variability in etoposide pharmacokinetics for i.v. and p.o. administered drug. Inter-and intrapatient variability in systemic etoposide exposure was measured following i.v. and p.o. drug administration using stable isotope dilution methodology. Seven patients received 50 mg of etoposide by both p.o. and i.v....

One of the difficulties of Data Envelopment Analysis(DEA) is the problem of deciency discriminationamong efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficientones. The main purpose of this paper is to overcome this inability. One of the methods for rankingefficient DMUs is minimizing the Coefficient of Variation (CV) for inputs-outputs weights. In this pape...

IMPORTANCE Endothelial morphometric measures have potential value in predicting graft failure after penetrating keratoplasty. OBJECTIVE To determine whether preoperative and/or postoperative central morphometric measures (endothelial cell density [ECD], coefficient of variation [CV], and percentage of hexagonality [HEX]) and their postoperative changes are predictive of graft failure caused b...

BACKGROUND Programming a mechanical ventilator with a biologically variable or fractal breathing pattern (an example of 1/f noise) improves gas exchange and respiratory mechanics. Here we show that fractal ventilation increases respiratory sinus arrhythmia (RSA) -- a mechanism known to improve ventilation/perfusion matching. METHODS Pigs were anaesthetised with propofol/ketamine, paralysed wi...

background and objective: quality control is one of the most important components in order to improve quality assurance in laboratories during analytical steps. for this purpose, coefficient of variation plays an important role. due to the fast improvement in technology, application of inferential statistics for the comparisons of laboratory techniques, including instrument and chemicals and fa...

Analytical and biological variability are issues of central importance to human metabolomics studies. Here both types of variation are examined in human plasma and cerebrospinal fluid (CSF) using a global liquid chromatography/mass spectrometry (LC/MS) metabolomics strategy. The platform shows small analytical variation with a median coefficient of variation (CV) of 15-16% for both plasma and C...

Abbreviations: LLOQ: Lower Limit of Quantification; QC: Quality Control; LQC: Low QC; MQC: Middle QC; HQC: High QC; SPE: Solid Phase Extraction; MRM: Multiple Reaction Monitoring; CV: Coefficient of Variation; RE: Relative Error; QqTOF: Quadrupole-QuadrupoleTime-Of-Flight; FDA: Food and Drug Administration; EMA: European Medicines Agency; XIC: Extracted-Ion Chromatogram; AUC: Area under the Cur...