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Post: Difference and p-value after applying weights based on propensity score.
DID is the pre and post difference between treatment and control groups.
The normally distributed pre post difference of the number of correct diagnoses was the dependent variable.
To explore the relationship between diagnostic improvement (pre post difference) and the background factors which could influence the results, a linear regression analysis, including both groups, was performed.
However, there was no clear Post difference in sweat loss compared with Pre (0.66±0.02 vs 0.69±0.02 L for Pre vs Post, respectively; −1.5% (−16;−15), ES=−0.0, 24/44/33), with unclear between-group differences in the changes (eg, Δ Pre vs Post: +5.3%(−23 43), 50/22/28 for HYP vs NORM; figure 3).
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In addition, the confidence interval and the effect size (ES; Cohen's d) of the pre to post differences for all variables (CI of 95%) was calculated.
Pre to post differences were described as percentage differences and presented in Table 1.
Effect sizes were calculated using Cohen's d to indicate the magnitude of pre and post differences.
Effect sizes were calculated using Cohen's d to indicate the magnitude pre and post differences.
These values were then entered in repeated measures ANOVAs, to compare pre and post differences.
The p-value (p = .407) suggests that the difference was not significant that is, that the pre-post difference in Jasper was not different from the pre-post difference in Center.
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