Introduction: Brain tumorr is a deadly disease but patients can have positive growth psychologically. It is important to find factors that lead psychological growth of patients. Therefore, this study was aimed to predict the post traumatic growth based on social support, coping styles and optimism in patients with brain tumor. Methods: In this correlational and descriptive study, the statistic...

background: this was a retrospective cephalometric study to develop a more precise estimation of soft tissue changes related to underlying tooth movment than simple relatioship betweenhard and soft tissues. materials and methods: the lateral cephalograms of 61 adult patients undergoing orthodontic treatment (31 = premolar extraction, 31 = nonextraction) were obtained, scanned and digitized befo...

The general purpose of this study was to examine the efficiency of the Precision Efficacy Analysis for Regression (PEAR) method for choosing appropriate sample sizes in regression studies used for precision. The PEAR method, which is based on the algebraic manipulation of an accepted cross-validity formula, essentially uses an effect size to determine the subject-to-variable ratio appropriate f...

the aim of this research was to study those motivations underlying computer sport games in the youth. this study used a survey and cross – sectional method. the population consisted of 302 students of yazd university. the data were collected by the revised scale of computer sport games. results of the empirical test of the scale distributed among the participants in computer sport games showed ...

Since the large number of parties involved in corporate failure or ‘business failure’, the avoidance of failure has always been an important issue in the field of corporate finance and business management. In this paper, the model was developed to predict business failure in Thailand particular in technology industry by using four variables from Altman’s model and adding one variable to the mod...

Given data y and k covariates x one problem in linear regression is to decide which in any of the covariates to include when regressing y on the x. If k is small it is possible to evaluate each subset of the x. If however k is large then some other procedure must be use. Stepwise regression and the lasso are two such procedures but they both assume a linear model with error term. A different ap...