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Primarily overall group differences are identified by a model comparing likehood ratio test of a hypothesized model incorporating interaction effects of group by time and a nested null model leaving out these interactions.
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A comparison of the amount of variability explained by such a model, compared to that from a regression against a monotonic ramp of activity, could point to the most fitting model.
Thus, the effect of omegaven was tested by a mixed model comparing scores between mice treated by RT alone and mice treated by RT+omegaven and taking into account the experience effect.
A cost-effectiveness analysis was performed by a lifetime microsimulation model comparing belimumab to standard of care (SoC).
Experimental results confirm the predictions given by an electromechanical model: compared to usual generators, the proposed approaches dramatically increase the power of the generators.
Data were analyzed by using a mixed linear model, comparing GC-S patients with GC-I patients with respect to improvement during pregnancy and the postpartum flare.
This interpretation is validated by a model fit comparing the actually measured dimensions with the dominant axis according to the covariance analysis (see Section "Validation of axis interpretation").
These results confirm that the measured impulsive noise is better modeled by the Middleton Class A model as compared to Gaussian noise.
Regarding the MI risk by tar intake per day estimated by a multivariable-adjusted model compared to never-smokers revealed an risk increase in male regular smokers shown by a HR of 2.24 (95% CI 1.40-3.56) for 1-129 mg/day and 3.01 (95% CI 2.08-4.36) for ≥ 260 mg/day.
On the other hand, tree boles that do not include, or only include a small part of, the stem portion above 50%% of total height are unlikely to be predicted differently by a DH+ taper model compared to how they would be predicted by a DH one.
It was demonstrated that the process windows for a successful part forming could be rapidly predicted with a reasonable accuracy by the analytic model compared to lengthy and costly thermo-mechanical FEA or experimental trial and error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com