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# Linear polynomial contrasts (continuous characteristic) or Cochran-Armitage trend tests (categorical characteristic).
§ F test of ANOVA (continuous characteristic) or Wald chi square test (categorical characteristic) of logistic regression model.
To compare subjects with and without HRQOL deficits, we performed Pearson chi-square tests to assess the association of each categorical characteristic.
Here, we have calculated weighted disadvantage rates (and 95% confidence intervals) for each categorical characteristic that predicted quitting and weighted means of more affluent and more disadvantaged clients (and 95% confidence intervals) for the characteristics operationalised through continuous variables.
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Of the 120 participants with brain scans, we compared the means of continuous characteristics and frequency of categorical characteristics of participants according to the headache status.
Comparisons of categorical characteristics between males and females were done with the χ2 test.
Dichotomous characteristics were compared between those with and without a current STI using a χ2 test (Fisher's exact test was used for infrequent events), while continuous and non-dichotomous categorical characteristics were assessed using logistic regression.
To describe differences between groups, categorical characteristics were tested using chi-squared tests, normally-distributed continuous variables using t-tests, non-normal continuous variables using Wilcoxon tests and time to event variables using log-rank tests.
Welch's t-tests were used for continuous characteristics, chi-squared tests with continuity correction for categorical characteristics, and the Armitage trend test for ordinal categorical characteristics.
The categorical characteristics were summarized and are presented as proportion and frequencies.
Among-group differences in categorical characteristics were examined by chi-square tests.
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