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All categorical variables will be analyzed using a t-test where appropriate, and proportional variables will be analyzed using chi square analysis for secondary outcomes.
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Categorical variables shall be analyzed using chi-square tests.
Nominal variables will be analyzed using chi-square analysis.
Differences in adherence between both treatment groups will be analyzed using chi-square tests.
Binomial or categorical outcome measures will be analyzed using Chi-square tests (Pearson's or Fisher's).
Subgroup analysis and all secondary outcome measures will be analyzed using Chi-square tests.
Preschool, primary school and LDC environmental data that is categorical in nature will be analyzed using Chi-squared or Fisher's exact tests depending on sample size.
Group equivalence of categorical variables, such as level of education, history of other substance use, specific contents of TAU use of anti-craving, abstinence enforcing or other psychoactive medication during the study treatment phase and co morbidity will be analyzed using chi-square tests.
This and other binary outcomes (such as LBW and perinatal mortality) will be analyzed using chi-square tests (unadjusted) or robust Poisson regression (adjusted for cluster and/or other covariates that may be imbalanced) to produce estimates of relative risk [ 36].
Outcomes were analyzed using Student's t tests, whereas nominal data were analyzed using chi square tests.
Descriptive statistics were generated and group differences were analyzed using Chi square tests (α = 0.05).
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