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Logistic regression analysis was used to calculate associations between various variables and the sick leave outcomes.
The strength of association between various variables and significance was determined using chi-square (χ2) test.
Significance of association between various variables and QOL was tested using the Chi square test statistic (x).
While various reasons are known, demonstrating associations between various variables and risk of becoming LTFU remains challenging.
Significance of association between various variables and substance use was tested using the Chi square test statistic (x) and a finding of p< 0.05 was considered statistically significant.
The relationship between cannabis use and these variables has also been illustrated in Table 2. Further analysis of the data was carried out to determine the strength of association between various variables and substance use.
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The CCD model helps to study the interactions between the various variables, and RSM helps to explore the optimum concentrations of each of the variables.
Due to the cross-sectional nature of this study, it is not possible to make any conclusions as to the causal relationships between the various variables and substance use.
Bivariate analysis was used to examine the association between various variables using Chi-squared tests and Analysis of Variance (ANOVA).
Significance of correlation between various variables assessed using chi-square test and coefficient of correlation was calculated by Pearson correlation coefficient.
Significance of correlation between various variables was assessed using chi-square test and coefficient of correlation calculated by Pearson correlation coefficient.
More suggestions(16)
between various characteristics and
between various factors and
between several variables and
between various determinants and
between various ligands and
between various sites and
between independent variables and
between driving variables and
between various species and
between various towns and
between various plants and
between various families and
between various imprints and
between various drugs and
between various fields and
between various pterosaurs and
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