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†n varies between the variables because of missing values.
*Significance for differences in proportions by t-testa, exact Chi-square testb, or exact Mann-Whitney testc.†n varies between the variables because of missing values.
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Second, the measurement of BMI change in parallel with 1-year direct costs may confound the interpretation of the relationship between these variables because events such as hospitalization and emergency room visits could contribute to a change in BMI or weight, as well as to the related medical cost.
Lastly, we cannot explain the cause-and-effect relationship between these variables because of the study's cross-sectional nature.
I checked the individual spelling scores of the respondents and confirmed that there is no relationship between the two variables because many of the high essay scorers have low spelling scores; conversely, many low essay scorers have high spelling results.
*n varies between the different variables because of missing values.
Descriptive summaries of patient-reported outcomes (SRH, QOL variables, SOC and perceived positive effects) are included in Table 2. *n varies between the different variables because of missing values.
We studied the association between the variables using the chi-square test because the data was categorical.
Because of relationships between the variables, a multivariate logistic regression analysis was performed to determine which factors independently predicted amenorrhoea.
A second series of analyses was performed in which radiotherapy was replaced by type of surgery because of overlap between the variables radiotherapy and type of surgery.
The identification problem comes because of the linear dependencies between the variables age, period, and cohort.
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CEO of Professional Science Editing for Scientists @ prosciediting.com