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Furthermore, possible interactions between genetic risk scores and the clinical risk factors in the case-control association study were explored in stratified analysis and by adding interaction terms to logistic regression models (Table S4).
The logistics and feasibility of conducting the study were explored.
By these methods, assumptions were tested and observations of differences and their relationship to the theoretical models underpinning the study were explored.
The analysis process required each study to be read repeatedly to ensure that all concepts were integrated and the relationships between the concepts of each study were explored.
During the individual interviews, pain assessment of participants, use of pain scales, and features of pain scales in relation to the context of the study were explored.
In summary, the findings of this study were explored within the context of two aspects of Greenhalgh [ 18] model for diffusion of innovations-the innovation and the adoption by individuals.
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A realistic case study is explored.
A European supply chain case study is explored.
The study was explored using the Taguchi experimental design method.
The underlying mechanisms associated with these effects and the practical implications of the study are explored.
The binding study was explored by using fluorescence spectroscopy with Job plot method.
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