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Many of the arguments against conventionality involve viewing the preferred simultaneity relation as an equivalence relation that is invariant under an appropriate transformation group.
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For outcomes measured using an essentially continuous scale (e.g. OSS, sickness absence percentage, and transfer income percentage), differences between groups at follow up will be compared by means of linear regression modelling with appropriate transformation of dependent variables.
The process transformation group is a complete joke!
Suppose that G is a transformation group.
The Lie-Bäcklund transformation group [52, 53] can be regarded as a tangent transformation group.
As an expert in transformation, group behavior is pretty predictable.
If the dependent variable was not normally distributed then an appropriate transformation was used.
Analysis performed by two-sided T-tests after appropriate transformation.
An appropriate transformation such as the LOGIT transformation of percentage values was done to restore normality, where necessary.
Approaches to find an appropriate transformation have centred predominantly on the Box Cox transformations (to achieve symmetry in error), with log transformation often prevailing when modelling costs.
If required, the distribution of variables will be normalized by appropriate transformation.
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