In order to extend these studies, we have evaluated over 60 different machine learning methods, such as: support vector machines (with and without parameter optimization), naïve Bayesian, decision trees, random forest, meta-classifiers (boosting, bagging, grading) and many others.
Charity Navigator has evaluated over 8,000 tax-exempt charities.
A more recent study in the United States has evaluated over 17,000 patients using a variety of gene testing methods.
Although mounting an early response is assumed to result in development of immunological memory, few studies have evaluated titer durability over time or the efficacy of boosting in immunocompromised patients.
Several studies have evaluated the significance of EGFR over-expression as a surrogate marker for cetuximab response, but no such correlation has been found [ 5, 6].
In this study we have evaluated the effects of transgenic over-expression of murine DNase I endonucleases in vivo in a mouse model of lupus.
It has to do with the fact that so far we have evaluated the confidence intervals over the entire forecasting horizon (3 or 4 years), which resulted in their lower and upper limits being constant.
Many studies have investigated late effects of these treatments, but few have evaluated changes in abilities over time.
Many prestigious and authoritative groups and individuals with no ideologic agenda have evaluated potential DDT harms over the last 70 years, and have consistently found no evidence of DDT harm that would cancel out the enormous health benefits of its use in malaria-endemic countries.
Peer-reviewed assessments of wetland restoration projects have focused on appropriate parameters (topographic, hydrologic, soil, vegetation, and animal components); however, for the most part, they have evaluated small, newly restored wetlands over the short-term with little repeated sampling.
Many studies have highlighted poor adherence in subjects newly treated with AHT, 14– 19 but few of them have evaluated how adherence levels vary over time.
