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SMD is calculated as the difference in mean outcome between groups, divided by the standard deviation of the outcome among participants.
We estimated intervention effects as standardised mean differences the difference in mean outcome between groups divided by a pooled standard deviation within groups.
Once a matched sample had been constructed, we estimated the treatment effect by the difference in the mean outcome between treated and untreated subjects in the matched sample.
The results were reported as differences in mean outcome between individuals with and without the factor, with respective 95%CI and p-values.
The SMD represents a transformation of the study outcome data into standard deviation units by dividing the difference in mean outcome between two groups by the pooled standard deviation.
SMDs were used for both drug use and intention to use drugs and were calculated by dividing the difference in mean outcome between groups by the SD of outcome between participants.
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A two independent samples t-test will be used to compare mean outcomes between the booster and control groups in this parameter.
For comparisons between the randomised intervention and control groups from the trial it should be possible to estimate the program impact as the difference in mean outcomes between those groups.
For continuous variables (e.g., mean age, total cost), a two-sample t test was conducted to compare the mean outcome values between compliant (MPR >0.8) and non-compliant (MPR ≤0.8) patients.
The sample size was based on the ability to test the hypothesis of a difference in mean outcome scores between two independent groups; social workers and community psychiatric nurses.
Using the intention to treat principle, we compared mean outcome scores between the trial arms by using random effects linear regression models with maximum likelihood estimation to allow for cluster effects.
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