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Standardized mean changes (effect sizes) were calculated by mean changes divided by standard deviation at baseline.
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The SMR was calculated as the mean change divided by the SD of the change.
Responsiveness for each outcome variable over time was quantified using the Effect Size (mean change divided by the baseline standard deviation) and the Standardised Response Mean (mean change divided by the standard deviation of change) (SRM).
The SRM will be calculated as the mean change divided by the standard deviation of the change.
To assess responsiveness among knees with and without radiographic OA progression we calculated absolute standardized response mean (SRM) values (SRM = mean change divided by standard deviation of change).
Responsiveness was assessed with the aid of standardized response mean (SRM) statistics, i.e. the observed mean change divided by the standard deviation of the observed change.
The standardized response mean was calculated as the mean change divided by the standard deviation of the change scores in that group.
Therefore, the 'effect size', defined as the mean change divided by its standard deviation, of qMRI assessments appears superior to that of JSW assessments.
The responsiveness to change was explored by calculation of the Standardized Response Mean (SRM) as the mean change divided by the SD of the change (definitions of SRM results: < 0.50 = small, 0.50 to 0.80 = moderate and > 0.80 = large responses).
The power calculation was based on a two-sided t-test on difference between programs in the mean reduction in the EPIC-26 urinary irritative sum-score (Michigan, 2012) corresponding to a Cohens d of 0.5 (mean change divided by s.d).
However, if no measure of variability was given the ES could not be extrapolated and we calculated the SRM (mean change divided by SD of the change) when available.
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