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For the survey, baseline differences will be tested using chi statistics for the categorical and dichotomous variables and t-tests for the continuous variables, where appropriate.
ANOVA will be used to analyse differences between groups and for repeated measures over time of the continuous variables, while nominal (categorical) variables will be tested using chi square (exact).
Similar(58)
Differences between groups will be tested using chi-square and t-tests.
Categorical variables will be tested using chi-square and McNemar tests.
Comparison of the frequency of treatment withdrawal between the intervention and the control group will be tested using Chi-square statistics.
Depending on the research question, differences between subgroups (e.g. men versus women, type 1 versus type 2 diabetes) will be tested using chi-squared tests for categorical data, and independent samples t-tests/analyses of variance for continuous variables.
Descriptive analysis was performed and the differences between groups were tested using chi square and a one-way analysis of variance when appropriate.
The association was tested using Chi Square.
Differences between groups were tested using chi square tests.
Differences between menopausal groups were tested using chi square test.
Differences in OW/OB and adiposity prevalence were tested using Chi square tests.
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CEO of Professional Science Editing for Scientists @ prosciediting.com