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Among the topics are Bayesian analysis of the normal linear regression model, Bayesian meta-analysis, disease mapping using Bayesian hierarchical models, Bayesian classification and regression trees, and issues in designing hybrid algorithms.
In a linear regression model that included age, artery diameter, lipid values, and use of lipid-lowering and antioxidant therapies, the effect of grape juice on FMD remained significant (mean change 4.
A simple linear regression model was utilized to show trends in the annual prevalence rate of ACL injuries over time.
Linear regression model equations were developed for each post product.
Accuracy of simple linear regression model assumptions Determination of validation method of simple linear regression model: In engineering jobs in what is common is that one-third of data are excluded to validation and two-thirds of data that remain are used for modeling (Witten and Frank 2000).
The proposed linear regression model has a MAPE of 15,261%.
After adjusting for age and prostate volume, using a linear regression model, BMI was a significant predictor of increased operative time (p = 0.
Logistic regression and general linear regression models were constructed to examine variables associated with mortality due to WNV.