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Multifactorial analyses were not performed.
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In projects related to participatory futures research, these multifactorial analyses are basically related to the far-sighted creation of realistic innovation possibilities in medium-term planning perspectives.
Multifactorial sensitivity analyses were performed to assess the relative influence of these surgical factors on the intraoperative joint laxity, graft-tunnel contact mechanics and graft forces.
Unifactorial and multifactorial linear regression analyses were used to examine the association between services characteristics and the QISO.
Therefore a common reference design was used to allow multifactorial analyses to be carried out looking across the time course and between cattle breeds.
Three multifactorial analyses of variance (ANOVA) were calculated using duration of flow, peak velocity flow or diameter of valve as the dependent variable.
In multifactorial analyses of variance, significant influences were found for age, gender, education, household net income, residence, and federal states.
Multifactorial analyses of variance (F-test) were performed for the outcome scores (IoS, IoW, IoWS, MiL_NRS) to control for potential confounders.
As inter-study results for the same mitochondrial polymorphisms or haplogroups differ, it has to be kept in mind that the diseases analysed are multifactorial.
To identify differences in the likelihood of listing a specific MiL area, parameter estimators (B) of the multifactorial analyses of variance and Chi-Square tests were used.
True proportions of explained heterogeneity could only be estimated from multifactorial analyses of primary data.
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