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Pearson's Chi-square was used for binary variables.
A Fisher exact test was used for binary variables.
Non-responder imputation was used for binary variables, and the last-observation-carried-forward approach was applied for continuous variables.
The chi squared test or Fisher's exact two-sided test, as appropriate, were used for binary variables.
Continuous variables were summarized using means and SDs and/or medians with interquartile range (IQR), and counts with percentages were used for binary variables.
Where appropriate, the χ test or Fisher's exact test was used for binary variables with the level of statistical significance set at P < 0.05.
Similar(47)
We dichotomised the EQ-5D levels into no problems (ie, level 1 as Y=0) and problems (ie, levels 2 and 3 as Y=1) due to the small number of responses citing level 3. Based on the distribution of the dependent variables, logistic regression was used for binary outcome variables and normal regression was used for VAS with the generalised estimation equation (GEE) method used for repeated measures.
Continuity corrected χ2 test, with Fisher's exact test where appropriate, was used for binary categorical variables, Pearson's χ2 test for non-binary categorical variables and Student's t-test for numerical variables.
For three-way comparisons of addictions, mental health and other, non-treatment service sectors, Tukey's HSD post hoc comparisons were used for the continuous dependent variable; logistic regression with contrasts were used for binary dependent variables.
* Chi-squared tests were used for binary categorical variables, non-parametric trend test were used for ordinary categorical variables and two-tailed unpaired t-tests were used for numerical variables.
Multilevel logistic models with robust variance will be used for binary outcome variables and mixed effect Cox model for survival data.
More suggestions(15)
used for dichotomous variables
used for nominal variables
used for skewed variables
used for binary vectors
used for binary codes
used for binary inputs
used for binary comparisons
used for nonparametric variables
used for clinical variables
used for binary data
used for binary endpoints
used for quantitative variables
used for binary images
used for numerical variables
used for ordinal variables
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