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We evaluated the comprehensive regression model for the MT-1 region.
Figure 3 shows the results based on the comprehensive regression model and figure 4 shows the results based on the regression model proposed by Cavanagh et al. (1997)[ 38].
In a comprehensive regression model adjusted for multiple sociodemographic, employment, clinical, healthcare and administrative factors including injury severity they found that workers who attended a chiropractor first, versus a primary care provider, were significantly less likely to remain on disability benefits at 1 year (adjusted OR=0.41, 95% CI 0.24 to 0.70).
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Because data used for the regression model came from multiple sources, comprehensive year-by-year figures from 1994 through 1999 were available for all factors in the model only at the state level.
A comprehensive framework composed of a carefully designed two-stage regression model is employed to estimate both the direct and indirect effects of demographic changes on CO2 emissions.
The long-term anti-icing performance evaluation model of anti-icing asphalt pavement was developed by introducing area conversion coefficient, temperature acceleration coefficient, comprehensive influence coefficient and climate influence coefficient to the regression model.
25, 2313 2317] gave a comprehensive study on D-optimality under a symmetric Fourier regression model and gave a characterization on orthogonality, complete orthogonality and D-optimality of lattice designs under a symmetrical Fourier model.
*Cox proportional hazards regression model The present study provides a comprehensive analysis of the expression and prognostic associations of CAC in patients with pancreatic cancer.
By conducting comprehensive tests with biological repeats, the prediction performance of the regression model can certainly be further improved as shown for pure culture predictions.
As both sleep problem indexes (Index I and II of the MOS) were highly correlated with each other, only the more comprehensive sleep problems index (Index II) was entered into the regression model.
The logistic regression model was selected to obtain an in-depth and comprehensive understanding of the factors that influence the Seffectivenessveffectiveness
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