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The second policy designed to dampen excessive variability in the stock market is for the Central Bank to carry out some open market operations in an index fund of equities.
Excessive variability in myofiber size was evident with a pattern of degeneration (multifocal groups of necrotic fibers with variable phagocytosis) and regeneration (multifocal groups of small calibre fibers with a basophilic appearance and of histochemical type 2C).
It may thus be unsystematic and biased [ 4], and may be a component of the (often observed) excessive variability in physicians' prescriptions [ 5, 6], uneasy to explain if one merely looks at evidence-based findings in medical literature.
280 Standard processes should be implemented by local study personnel to enhance data quality and reduce bias by detecting and reducing the amount of missing or incomplete data, inaccuracies, and excessive variability in measurements.
Moreover, such validation tests might have the additional benefit of revealing technical problems, such as excessive variability in RT and PCR efficiency due to RNA quality or inconsistent pipetting.
Lack of information independent from commercial influences, limited efforts to actively implement evidence-based information and its limited comprehensibility are important determinants of this gap and may influence an excessive variability in physicians' prescriptions.
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The microarray data exhibited low signal to noise ratios, which resulted in excessive variability at low intensity values.
One issue in interpreting these data is the level of variability for the measures used in these studies: excessive variability can obscure treatment-related effects, or conversely, small but statistically significant changes could be viewed as treatment related, when they might in fact be within the normal range.
Probes were then filtered by overall average RAS (Relative Allele Signal) and AAD (Average Absolute Difference) to exclude data with low Minor Allele Frequency and excessive variability (78.6% selection) (Figure S3 in File S1).
A smoothing procedure is proposed to account for excessive variability.
The use of excessive variables in model development may cause model over-fitting (i.e., two or more different variables in the model account for the same variability in the results, which may result in spurious results).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com