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Abramowitz and Hill et al try to model this factor in one or another, while Fair does not.
Also responsiveness is an important factor that is considerable for the managers; with the provided model, this factor increases and absolutely customers are more satisfied.
In the predictive model, this factor had the highest risk ratio, with p < 0.001.
Although provider effects are an important determinant of diabetes control, we did not have sufficient power to model this factor in our analyses.
If the univariate estimate of the hazard ratio (HR) for CPM changed more than 10% if a potential confounder was added to the model, this factor was accepted as a confounder.
35 However in the multivariable model this factor was significant only when there was fetal growth restriction, in which case the risk even exceeded that associated with the mother being a smoker (adjusted relative risk 10.0, 95% confidence interval 6.6 to 15.8; table 3).
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In vision models, this factor is sometimes referred to as point spread function of retinal cells [120].
Individual identity was controlled by modeling this factor as a random effect.
The existing M/G(n)/C/C model and D/D/1/C model ignore this factor and result in underestimation of width.
Interestingly, the addition of the individual covariate describing the intensity of use of AFS greatly improved the models without this factor (models 7 12, Table 1).
Time 2 data allowed us to replicate the 4-factor model; moreover, this factor structure appears valid and items appear reliable over time.
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CEO of Professional Science Editing for Scientists @ prosciediting.com