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Using this normalization approach, we eliminated the inaccuracy introduced by numerical variances of intracellular particles among groups.
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Comparing numerical variables with assumed equal variances and different variances tested by t student and mann-withney respectively.
Inter-group differences were compared using the independent sample t-test or analysis of variance for numerical variables and the χ-square test, Fisher's exact test for categorical variables, or generalised estimating equations for incidence rates as appropriate.
Neurologically favourable outcome was defined as CPC category 1 or 2. 14 15 In this study, patient and EMS characteristics of OHCAs of non-cardiac origin and their outcomes were compared between the groups using unpaired analysis of variance for numerical variables and χ test or Fisher's exact test for categorical variables by cause of arrest.
Categorical variables were tested by chi-squared test, numerical variables by analysis of variance.
Inter-group differences were analyzed by independent sample t test or one-way analysis of variance (ANOVA) for numerical variables, and by chi-square test for categorical variables.
Statistical differences in socio-demographic characteristics between the three countries were evaluated by means of a Chi-squared test for categorical variables and analysis of variance (ANOVA) for numerical variables.
Baseline characteristics of survivors and dead were compared using one-way analysis of variance (ANOVA) for numerical variables while a Chi-square test was used to compare categorical variables (Table 1).
To obtain a fixed numerical measurement error variance, the researcher begins by carefully considering the latent level causal structure, to gain a clear sense of how each latent is expected to causally function with respect to the other modeled latents and with respect to specific imagined error variables like error-A, error-B, error-C and error-5 in Figure 3.
Associations between PTEN status and numerical variables were assessed using analysis of variance.
2 Trend test by Cochran-Armitage test for categorical variables and analysis of variance with contrast statement for numerical variables.
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