Meta-regression models are increasingly utilized to integrate empirical results across studies while controlling for … the potential threats of data-mining and publication bias. We propose extended meta-regression models and evaluate their … prevalent in empirical economics. We can show that the meta-regression models here proposed systematically outperform the prior …

-parametric, decision-tree techniques, randomized Classication and Regression Tree and Multivariate Adaptive Regression Splines, are … challenge for more traditional statistical procedures such as linear regression. Results show that the dependence of growth …

proposed and developed a forecasting model for the medical resource consumption of DN patients. We used multiple regression …, stepwise regression, multivariate adaptive regression splines (MARS), support vector regression, and twostage model (T-SVR). We … used a combination of important variables screened out by stepwise regression and MARS to construct the T-SVR model. We …