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These spurious correlations can be easily understood by considering a simple example: imagine one homogeneous population that splits into two.
In such situations, formulating questions about correlations between outcome-specific event probabilities (which can be used directly in an arm-based approach) is more likely to be intuitive and easily understood by non-statistician healthcare experts than questions about correlations between intervention effects.
It could be easily understood from the Table 4 that each construct shows more correlation with their respective items compared to other constructs of the model and discriminant validity of constructs is supported.
This has the advantage of accommodating correlation between variables and providing a single, easily understood, summary statistic for missingness.
That's easily understood.
Some passions are easily understood.
These mechanisms are easily understood.
The reasons are easily understood.
Both are easily recognised but less easily understood.
Colin is less easily understood.
Britain's railways are not easily understood.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com