Evaluating clinical significance: Incorporating robust statistics with normative comparison tests

Statistics from the inside. 2. Significance tests.

Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms

Empirical research in learning algorithms for classification tasks generally requires the use of significance tests. The quality of a test is typically judged on Type I error (how often the test indicates a difference when it should not) and Type II error (how often it indicates no difference when it should). In this paper we argue that the replicability of a test is also of importance. We say ...

Robust normative systems

Although normative systems, or social laws, have proved to be a highly influential approach to coordination in multi-agent systems, the issue of compliance to such normative systems remains problematic. In all real systems, it is possible that some members of an agent population will not comply with the rules of a normative system, even if it is in their interests to do so. It is therefore impo...

The Normative Significance of Conscience

Indoor damp surfaces harbor molds with clinical significance

Background and Purpose: Fungal contamination in damp places in buildings has become an increasing problem worldwide. Dampness facilitates the growth of fungi, which can cause adverse effects not only on the buildings but also on their occupants. The aim of this study was to identify indoor mold species in the buildings of Kerman province, Iran. Materials and Methods: In this study, 110 samples...