Sentence examples for measurement variability and from inspiring English sources
However, a number of features characteristic of biological data, including high levels of measurement variability and correlation between variables, represent an additional challenge and call for specific methods.
No control group was used as it was deemed unnecessary because our aim was to explore the effect of isolated approaches to altering knee angles rather than test an 'intervention.' It is possible that alterations in dependent variables were due to other factors such as natural variation over time, measurement variability and not to the independent variables used in this study.
Estimated effect sizes, measurement variability, and correlations between baseline and follow-up measures were estimated using unpublished datasets from studies of physiologic measures in adult and pediatric populations.
40 41 42 However, we thought that measuring respiratory rate consistently by trained nurses would limit measurement variability and would probably reflect common clinical practice, increasing the face validity of the centile charts.
Investigative noise is of two general kinds: random biological (and measurement) variability, and bias.
Its aim is to evaluate measurement variability and compare peak intensities from two types of MALDI-TOF platforms.
Current clinical biomarkers used to diagnose diabetic kidney disease, urinary albumin excretion and glomerular filtration rate, are subject to considerable measurement variability [2], and are heterogeneous as to prognostic impact [3].
The biological and measurement variability of BP and TC are significant.
A slowing in the rate of cognitive decline, which is a minimum requirement to show a disease-modifying effect, takes a comparatively long time and large sample size to establish because of the variability across patients and measurement variability in cognitive and functional assessments.
The ICC was defined as the ratio of variance among patients (subject variability) over the total variance (subject variability, observer variability and measurement variability).
The Bland-Altman limits of agreement for relative change in CST between machines (the degree of change that could be expected from measurement variability [combining within and between instrument variability]) were 21% for Cirrus and 19% for Spectralis when comparing predicted vs actual Stratus measurement.Reproducibility appears to be better with Spectralis than with Cirrus and Stratus.
