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The findings are, broadly consistent with the validation literature on the use of electronic blood pressure devices in clinical settings, and should reassure readers of the validity (although untested at the time) of those earlier studies that used non-health workers taking blood pressure measurements in community settings (20– 20).
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The focus is on the use of CMR in the diagnosis of coronary artery disease with summaries of validation literature in CMR viability, myocardial perfusion, and dobutamine CMR.
However, as this approach warrants further validation, and the literature on the topic is still limited, we undertook a study to verify this technique in our group of patients with large CL.
There is a scarcity of literature on validation of reported drug use and on the assessments of current drug use and its potential association with HIV treatment outcomes among HIV-infected patients [ 3, 14].
There is an extensive literature on the validation of DCM ranging from face validation studies [ 16] to construct validation in terms of multimodal measurements [ 17], pharmacological manipulations [ 8,18] and psychophysical constructs [ 19]; for example, predictive coding.
Our study uses one of the largest training and validation sets reported in the literature on tamoxifen (only) treated patients.
To that end we reviewed the literature on development, validation, and use of such scores, using both quantitative data on demographics of populations and statistical properties of models and qualitative data on how risk scores were perceived and used by practitioners, policy makers, and others in a range of contexts and systems.
The literature on verification and validation from engineers and scientists is enormous and it is beginning to receive some attention from philosophers.
Although these results cannot be confirmed by cross-validation, they are supported by the literature on this topic: there have been several reports that although patients desired information about their upcoming treatment, they did not want to be involved in the treatment decisions [ 31, 56].
There is an extensive literature on DCM ranging from face validation studies (David et al., 2006) to construct validation in terms of multimodal measurements and pharmacological manipulations (Moran et al., 2011).
The existing literature on NIRSth is mainly focused on validation of this technique.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com