The aim of the research is to study efficiency following indicators multiple regression model, i.e., value "F", R2, Adj., Standard Beta B, Unstandard and EMS, in light different sample sizes using three methods (standard – gradual hierarchical). descriptive method was used. community consisted a virtual that simulates reality, it obtained through simulation method. It consists 500 items, create...

In medical research, there is great interest in developing methods for combining biomarkers. We argue that selection of markers should also be considered in the process. Traditional model/variable selection procedures ignore the underlying uncertainty after model selection. In this work, we propose a novel model-combining algorithm for classification in biomarker studies. It works by considerin...

Identifying anomalous values in the realworld database is important both for improving the quality of original data and for reducing the impact of anomalous values in the process of knowledge discovery in databases. Such anomalous values give useful information to the data analyst in discovering useful patterns. Through isolation, these data may be separated and analyzed. The analysis of outlie...

conclusions orem’s self-care model is significantly effective in reducing the fatigue of multiple sclerosis patients. objectives to determining the effect of orem’s self-care model on fatigue in multiple sclerosis patients. patients and methods this research involved a clinical trial. sixty-three multiple sclerosis patients at the vice-chancellor in treatment affairs of yasuj university of medi...