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HRM may offer advantages over conventional methods, including improved identification of motility disorders, hiatal hernia, and outflow obstruction, and ease interpretation.
Most are written in efficient programming languages such as Fortran or C, but often require additional code efforts to plug in to more user-friendly data analysis and/or visualization tools to ease interpretation and scientific insight.
We divide them in three categories to ease interpretation.
We fit a second-order CFA model to ease interpretation of the scale and increase parsimony.
To ease interpretation, data is generally presented as the cumulative amount in the entire GIT, e.g. the sum of the four sections in each animal.
Power BI is an influential analytical tool offering a friendly interface, whereby interactive visualization can be easily created to ease interpretation and do efficient reporting.
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Furthermore, in our regressions, we chose not to include interactions aiming at easing interpretation of results.
This technique eases interpretation of the parameter estimates related to BCS.
Therefore, the untransformed version was used for ease of interpretation.
For ease of interpretation we multiplied ratios by 100 to get whole numbers interpretable as percentages.
For ease of interpretation, I show results from OLS regressions.
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