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The authors stated that researchers should bear in mind that they must be able to verify the continuous patient's eligibility to participate and to "differentiate treatment cessation from patient death or switches in insurance plans".
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In lieu of the expense involved with full-scale testing, the good agreement between the finite element modelling and the test results obtained in the study suggests that far less expensive numerical modelling can be used to verify the performance of continuous composite slabs.
In order to verify the linearity of the continuous variables, the martingale residuals (differences between observed and expected numbers of events) were used.
The Kolmogorov-Smirnov test was used in order to verify the normality of the continuous variables (age) and the Levene test was used to analyze the homogeneity of variances.
We used the Kolmogorov Smirnov test and stratified the distribution plots to verify the distribution normality of the continuous variables.
The non-parametric Kolmogorov-Smirnov test for normality was used to verify the normality assumption for the continuous variables analysed.
To verify the feasibility of performing continuous crossbreeding using the a- and α-type derivative cells, multi-hybridization was performed with K76A/pLhyS-2 K-Pa1 and K9AL/pHhyS-3 K-2α cells (isolated as described above) according to the scheme illustrated in Fig. 2b.
The Kolmogorov Smirnov test was used to verify the normal distribution of continuous data.
Kolmogorov-Smirnov was used to verify the normal distribution of continuous variables in the groups, and Levene's test was used to confirm the homoscedasticity of the samples.
A Kolomogorov-Smirnov test was used to verify the normality of distribution of continuous variables.
The Kolmogorov Smirnov test was used and histograms and normal-quantile plots were examined to verify the normality of distribution of continuous variables.
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