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Starting from an analysis at each time point and an ordinary least squares regression model as standard and widely used methods, this contribution aims at comparing these two methods to a repeated measures analysis and a longitudinal mixed model.
On the basis of the equivalent variables, an uncertainty quantification model is established, in which the unified probabilistic information related to the uncertain responses of engineering systems can be computed with the aid of the fuzziness discretization and reconstruction, the belief and plausibility measures analysis, and the interval response analysis.
Dynamic serum MMP-3 and core disease activity indicators were analyzed by repeated measures analysis and log-rank tests.
The ANOVA for repeated measures analysis and multiple comparisons tests further confirmed the difference in dynamic serum MMP-3 between these two groups (data not shown).
Data suggesting an increase in HR following dose escalation were not supported by a repeated measures analysis and were considered inconclusive.
This relatively high proportion of women recovering from a disabled state is why we chose to perform a repeated measures analysis and not to use statistical methods analysing time before entering disability, such as Cox regression.
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The data generated by this method are continuous, not discrete, and thus will allow for meaningful use of regression, repeated-measures analysis, and other statistical procedures that go beyond the contingency-table methods currently employed.
This correlation violates the assumption of independence necessary for more traditional, repeated-measures analysis and leads to bias in regression parameters.
Therefore, we examined the associations of BC and PM2.5 with BP in a repeated-measures analysis and investigated the possibility of effect modification of the association between BC and BP by gene variants related to oxidative stress defense.
p values are those given by a two-way (time, treatment) analysis of covariance, the analysis being adjusted on baseline values (mixed model) for normally distributed variables or a non-parametric repeated-measures analysis, and also adjusted on baseline values (mixed model), performed on ranked data, for non-normally distributed variables.
For further characterization we performed repeated-measure analysis of variance (two factor mixed measures analysis of variance) and displayed the interaction between and within the study groups.
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