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This article presents a decision support model that describes the mutual relationships among multiple variables for assessment of the outcome of endodontic treatment.
Multivariate logistic regression analyses were performed to adjust for effects among multiple variables for elevation of the EFL index (ΔX5).
In addition, OS, CSS and DFS were all examined and with multiple variables for the models including specifically a focus on pre-operative ones.
Two-way ANOVA was used for the analysis of samples with multiple variables (for example treatment and siRNA) and one-way ANOVA was used for the rest.
Using GenAlEx6 (19 ), we applied PCA to the screening dataset (all isolates) and the extended virulence profile dataset (ExPEC isolates) as a way to collapse the multiple variables for simplified among-group comparisons.
If time is included as a variable then 'multivariate' generally refers to multiple observations on a single variable, and the ability to visualise multiple observations on multiple variables for each individual would be of great use in understanding the results of many biomedical studies.
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A multiple Cox proportional hazards regression model was used to investigate the multiple variables individually for a possible association with survival.
It is unclear how this method would extend to missingness in multiple variables, except for the case where only one of the variables is MNAR [ 18].
We also include results of probabilistic sensitivity analyses (PSA) where inputs for multiple variables are sampled from distributions for multiple cohorts.
Overall, the difference of the effect of intermarriage in the two outcomes highlights the importance of using multiple variables to proxy for migrants' home country preference.
23 It improves on earlier efforts 4 by using methods that allow simultaneous assessment of multiple variables and incidences for the epidemic period to be computed.
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