BACKGROUND We aimed to assess the high-risk group for suicide using different classification methods includinglogistic regression (LR), decision tree (DT), artificial neural network (ANN), and support vector machine (SVM). METHODS We used the dataset of a study conducted to predict risk factors of completed suicide in Hamadan Province, the west of Iran, in 2010. To evaluate the high-risk grou...

OBJECTIVE To carry out an in vitro study of Boussignac CPAP valve performance with a new humidification method, using a heated humidifier. METHODS Two heated humidifiers were evaluated: Fisher & Paykel MR850, and Covidien Kendall Aerodyne 2000. Baseline measurements were taken in all experimental conditions without humidification. The Boussignac valve was adapted to the input of the humidific...

This paper presents user-friendly SAS macro and SAS programs to check the three parts of a time series: Trend, Cyclical patterns, and Stationarity. The SAS macro KENDALL performs the trend analysis. Seasonal Kendall Trend analysis, including summery statistics; overall Tau and the P-value of the test for trend; monthly Tau values, the corresponding P-values for each month; the Seasonal Kendall ...

There are many factors that can affect student achievement, both internal and external factors. To find out what each data factor achievement is tested for correlation with the Kendall Tau method so strength relationship between supporting be measured two variables. In this study, test of was carried based on obtained from Quadrant Institute further implementation into software or applications ...

OBJECTIVE Cephalometric measures are used to evaluate vertical facial excess (VFE), however anyone of them have been validated against a gold standard to this purpose. Also, there are differences between cephalometric results and clinical evaluation. This study pretends to validate experts' clinical diagnosis test (ECDT) as gold standard for severe VFE, with the purpose of validating further ag...

The disadvantages of apriori algorithm are firstly discussed. Then, a new measure of kendall-τ is proposed and treated as an interest threshold. Furthermore, an improved Apriori algorithm called K -apriori is proposed based on kendall-τ correlation coefficient. It not only can accurately find the relations between different products in transaction databases and reduce the useless rules but also...

Nonparametric correlation measures at the Kendall and Spearman correlation are widely used in the behavioral sciences. These measures are often said to be robust, in the sense of being resistant to outlying observations. In this note we formally study their robustness by means of their influence functions. Since robustness of an estimator often comes at the price of a loss in precision, we comp...