regression analysiscompetitivenessThe ability to optimize costs plays a key role in maintaining competitiveness of the company, because without detailed knowledge of costs, companies are not able to make the ri
Lameness assessments were compared with logistic regression analysis to account for the repeated measures and cross-over study design (P<0.05). Results: Xylazine (0.1 and 0.2 mg/kg) or acepromazine (0.02 and 0.04 mg/kg) did not result in significant differences in objective lameness assessment (...
Finally, the 2-norm of the vector of regression coefficients could be used to evaluate the sensitivity of the model predictions with respect to measurement noise. However, such a metric does not reflect the lack of fit for the model. In fact, if all regression coefficients are made equal to...
Credit scoring is the set of decision models and techniques that aid lenders in granting consumer credit [1]. Analytically, credit scoring is a classification problem employing a wide range of algorithms of varying complexity, with logistic regression often being used a benchmark. Other commonly app...
real scenario. The top regression methods for such short trajectories in 1D provided distributions spread over a wide range ofα, with medians between 0.8 and 0.91 (Fig.5h). The results of model classification were also less conclusive with respect to the previous cases, likely a consequence ...
A best fit curve may then be determined for age as a function of elasticity and density (i.e., age=f(e,d), where e is elasticity and d is density) through known regression analysis techniques. The second step 50 is to measure the physical characteristics used to estimate an age of ...
Data were assessed using univariate analysis, multivariate logistic regression and Pearson chi-square analysis. A total of 48 patients were found to have a palpable penile plaque on physical examination for a prevalence rate of 8.9%. The mean age of men with Peyronie's disease was 68.2 years ...
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During preliminary analysis, we found evidence that the error variances were correlated with objective physical activity. Because of the likely heterogeneity in the estimated error variances, we use estimated generalized least squares (EGLS) for estimating regression coefficients for the initial model and...
All SDS outputs were tested for normality, and were normally distributed. Correlation and multiple regression analysis were used to explore associations of BIVA-SDS with body composition SDS, and also BMI-SDS for comparison. BIVA-SDS were compared across categories of FFM-SDS and HFFM-SDS. Tolera...