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This was followed by a multifactorial analysis considering the simultaneous effect of all variables on the possibility of successful smoking cessation.
This was followed by a multifactorial analysis considering the simultaneous effect of all statistically significant variables on the possibility of successful smoking cessation.
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To test the possible influence of GMs quality and imitative behaviour (hypothesis 4), these will be considered as covariates in a multifactorial analysis.
A multifactorial analysis of variance was performed using the 2k factorial design, always considering the C4 as the lower level.
Data was analysed using a mixed, multifactorial analysis of variance (ANOVA) with repeated measurements.
Data were processed by means of a multifactorial analysis of variance (ANOVA).
Statistical multifactorial analysis showed all the studied variables including the operating pressure (PTM), crossflow velocity (vt) and operating temperature (T) remarkably influence the permeate flux yielded by the selected membrane (p-value practically equal to zero), confirming a statistically significant relationship among the variables considered at 95% confidence level.
DEG and SVT provided data and advice regarding multifactorial analysis.
The necessity of multifactorial analysis is stressed, and an example of such analysis is presented.
Soussi et al. discussed a multifactorial analysis of p53 alterations in human cancers [ 54].
The multifactorial analysis identified two possible dimensions in the preliminary CECA questionnaire.
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