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Linear regression models were used to evaluate the impact of predictor variables on continuous outcome variables.
As stated above, Table 2 provides within and between group effect sizes on continuous outcome measures.
Analysis including only those exposed to treatment (at least five sessions or modules) yielded results equal to the intention-to-treat analysis on continuous outcome measures of social anxiety, indicating that between group effects in the latter were not moderated by completion status.
However, it may be possible to explore differences between their effects on continuous outcome measures.
Calculations were based on: continuous outcome; an independent individuals design; and a gene-only hypothesis.
Effects of demographic characteristics and prognostic factors on continuous outcome measures will also be analyzed using multiple regression analysis.
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Linear regression was implemented to assess the effect of weight change on continuous outcomes.
According to our analysis plan, the meta-analyses focused on continuous outcomes.
The current study investigated on continuous outcomes in two groups from a Frequentist perspective.
Chi-square tests were performed on categorical data and independent student's t-tests on continuous outcomes.
For data on continuous outcomes, where possible, we expressed results as the difference in the mean change between groups.
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