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The multivariate model explained 19.8% of the variance (R ).
The multivariate model explained 45.5% of the variability of the cost.
The final multivariate model explained 22% variation in the total score of OHIP-14 (R =0.22).
The final multivariate model explained 40% of the variation in bulk tank ELISA OD.
This multivariate model explained 42% of the variability of airborne endotoxin levels, a substantial improvement over that with dust endotoxin alone.
30 Our multivariate model explained a high proportion of the variability (60 70%) in arterial dysfunction between patients taking diclofenac and ibuprofen.
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Cox proportional hazards model for time to event data was used to evaluate the hazard of every important variable, as well as for the construction of a multivariate model, explaining the relative significant influence of the covariates on outcomes (unconditional backwards procedure).
Our multivariate models explained between 26 and 28% of the total variance of fasting insulin, with the physical activity variables accounting for 2 to 3% of the total variance.
The variables included in the multivariate models explained a median of 35% (min.-max; 10-52%) of the variability in the respective SF-36 scale.> -wrap-foot> Dare are beta-coefficients with respective 95% confidence interval (CI), significant values (p < 0.05) bolded.
> -wrap-foot> > -wrap-foot> Our multivariate models explain between 7 and 14% of total variation in levels and breadths of gene expression (Tables 2 and 3).
In therapeutic trials, the assessment of expectations could be useful to 1) describe the level of expectations for several treatment attributes at baseline, and 2) be part of multivariate models explaining the respective impact of treatment characteristics and patients' expectations on the levels of satisfaction reported by the patients.
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