background : the present study aimed to determine the relationship between mental disorders and burnout among employees of shiraz university of medical science, iran. methods: in this cross-sectional study, 300 employees were selected as the study sample using random sampling method. symptoms of mental disorder, predictor variables, and burnout were the criterion variables of this study. data w...

A tree-structured classifier is a decision tree for predicting a class variable from one or more predictor variables. THAID [15, 7] was the first such algorithm. This article focuses on the CART R © [2], C4.5 [17], and GUIDE [12] methods. The algorithms are briefly reviewed and their similarities and differences compared on a real data set and by simulation. In a typical classification problem,...

OBJECTIVE Two measures of affect-affective attitude (AA) and anticipated affective reaction (AAR)-have frequently been used individually, but rarely simultaneously, in correlational studies predicting health behaviors. This research assessed their individual and combined impact in predicting intention and action for a range of health behaviors, controlling for theory of planned behavior (TPB) v...

in this paper, behavior of teleoperation systems with modeling error and delay time error in smith predictor is discussed. in teleoperation systems, modeling error is inevitable. this paper discusses stability of teleoperation systems with modeling error. first, error of delay time in teleoperation systems by using of internet as communication channel is considered and the performance of smith ...

A tree-structured classifier is a decision tree for predicting a class variable from one or more predictor variables. THAID [15, 7] was the first such algorithm. This article focuses on the CART R © [2], C4.5 [17], and GUIDE [12] methods. The algorithms are briefly reviewed and their similarities and differences compared on a real data set and by simulation. In a typical classification problem,...

Background: Identifying the predictors of pain is important for both health professionals and researchers, because pain has repeatedly been found to be a strong predictor of activity limitations and participation restrictions. The objective of this study was to determine the predictors of pain presence and severity in a large, well-designed sample of community dwelling individuals with multip...

introduction: the aim of this study was to examine the relationship between body dysmorphic concern psychological disorders and among university students. methods: 263 university students were selected through simple sampling. scl- 90- r and body image concern inventory were used to collect data. reliability coefficient of scl- 90-r was 0.88 and body image concern inventory was 0.95. result: th...

BACKGROUND Several studies have identified clinical, psychosocial, patient characteristic, and perioperative variables that are associated with persistent postsurgical pain; however, the relative effect of these variables has yet to be quantified. The aim of the study was to provide a systematic review and meta-analysis of predictor variables associated with persistent pain after total knee art...

Psycholinguists are making increasing use of regression analyses and mixed-effects modeling. In an attempt to deal with concerns about collinearity, a number of researchers orthogonalize predictor variables by residualizing (i.e., by regressing one predictor onto another, and using the residuals as a stand-in for the original predictor). In the current study, the effects of residualizing predic...

There are a number of regression models which are widely used to predict ordinal outcomes. The commonly used models assume that all predictor variables have a similar effect at all levels of the outcome variable. If this is not the case, for example if some variables predict susceptibility to a disease and others predict the severity of the disease, then a more complex model is required. One po...