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The participants received the sample of concepts via email a week before the group interview.
The analysis focused on the content and sought to describe the participants' opinions of the sample of concepts.
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While it dovetails well with our own research, this work covered a much smaller sample of common concepts and focused on naming sound sources instead of semantic descriptions.
Our first task was to identify the scope of the LO and related literature within and outside of medical databases; thus, our aim was to get a large sample of the concepts by using a broad search strategy.
For example, in a sample of 59 chemical concepts from ISTs assigned to just one concept, 20 were found to have incorrect ST assignments [30].
Deterministic, stochastic, and non-stationary analyses demonstrate the operational principles and sensitivities of the method while experiments with proof-of-concept samples corroborate analytical results and give clear evidence of the advantages of the new approach.
The task was to manually assess a sample of ∼300 UMLS concept pairs.
Similar to the sample for concept elicitation interviews, all of the adolescents included in the cognitive interview study were currently taking medication (100 %) and most described their ADHD as mild (64 %).
Due to the low sample number in this proof-of-concept study, these findings can only be considered as promising and as an avenue for further research.
The sample size for the proof-of-concept study (n = 12 evaluable subjects) was calculated based on 80% power to detect a 25% change in the primary endpoints with a type I error of 0.05; the primary endpoints were the treatment/control ratios of log-transformed AUC0 48 ((S -warfarin) or AUC0–inf (midazolam) and Cmax ((S -warfarin and midazorAUC0 inf the predefined no effect range was 0.75–1.33.
The potential application of this technique for Hg2+ and EDTA determination of river water samples is revealed by proof-of-concept experiments.
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