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Okasha (2011) uses the Arrow-Sen framework to study the problem of choosing among rival scientific theories by criteria including fit to data, simplicity, and scope.
A design theme of 'standardization of methods and data, simplicity of resulting systems and processes and improvement over existing solutions' was chosen to provide an overarching structure for the work to be carried out while still allowing for the required flexibility and fluidity of decision-making along the way.
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Because the FUSE (2) and Yohkoh anomalies occurred within 5 days of each other, we merged their data for simplicity.
While these models are relatively easy to adapt for describing experimental data, their simplicity limits their generality to be used with many different sets of data.
Among the epistemic virtues of a theory are: its adequacy to the data; its simplicity, cleanness and elegance; its unity and freedom from ad hoc hypotheses; its explanatory and predictive power; etc.
Therefore, we solely present the year 7 data for simplicity.
The primary advantage of categorizing our multivariate data is simplicity.
We took UniProtKB IDs and excluded the self protein-protein interaction data for simplicity.
If not, the quality of the scientific data, the simplicity in execution, the reliability in multi-center assessment, and a reasonable cost would drive the decision for including imaging endpoints.
For simplicity, data for the Passau, Friuli and Frickingen outbreaks were first compared with the complete CSE European data set.
Census data, despite their simplicity, can be surprisingly revealing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com