Meta-modeling has become a crucial tool in solving expensive optimization problems. Much of the work in the past has focused on finding a good regression method to model the fitness function. Examples include classical linear regression, splines, neural networks, Kriging and support vector regression. This paper specifically draws attention to the fact that assessing model accuracy is a crucial...

Conventional genome-wide association studies (GWAS) have been proven to be a successful strategy for identifying genetic variants associated with complex human traits. However, there is still a large heritability gap between GWAS and transitional family studies. The "missing heritability" has been suggested to be due to lack of studies focused on epistasis, also called gene-gene interactions, b...

BACKGROUND The management of depression in primary care is a significant issue for health services worldwide. "Collaborative care" interventions are effective, but little is known about which aspects of these complex interventions are essential. AIMS To use meta-regression to identify "active ingredients" in collaborative care models for depression in primary care. METHOD Studies were ident...

Hunters’ valuations of recreational hunting have been estimated by a large number location-specific studies since the early 1970s, but to date there has no systematic assessment this research at global scale. The present study performed meta-analysis 80 with 588 value-per-day estimates. showed high concentration pertaining valuation deer and in USA. average value was USD 69 /hunting day 2020 pr...

We analyze the literature on relationship between corporate social performance (CSP) and financial (CFP) by applying meta-regression analysis (MRA) to 7800 results of 512 empirical studies. Our findings reveal a small positive link CSP CFP as well presence publication bias that favors statistically significant CSP–CFP regression coefficients. also evaluate impact underlying research design hete...

Cardiovascular autonomic neuropathy (CAN) is a serious and well known complication of diabetes. Previous articles circumvented the problem of missing values in CAN data by deleting all records and fields with missing values and applying classifiers trained on different sets of features that were complete. Most of them also added alternative features to compensate for the deleted ones. Here we i...