• Communications for Statistical Applications and Methods
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• v.12 no.1
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• pp.217-227
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• 2005

The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. We utilized this data mining technique to analyze medical record of 35,671 people. Whole data were assorted by BMI score and divided into two groups. We tried to find out BMI risk factor from overweight group by analyzing the raw data with data mining approach. The result extracted by C5.0 decision tree method showed that important risk factors for BMI score are triglyceride, gender, age and HDL cholesterol. Odds ratio of major risk factors were calculated to show individual effect of each factors.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.37-48
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• 2020

Purpose - This study empirically investigates whether the risk property included in fat-tails of return distributions is systematic or unsystematic based on the devised statistical methods. Design/methodology/approach - This study devised empirical designs based on two traditional methods: principal component analysis (PCA) and the testing method of portfolio diversification effect. The fatness of the tails in return distributions is quantitatively measured by statistical probability. Findings - According to the results, the risk property in the fat-tails of return distributions has the economic meanings of eigenvalues having a value greater than 1 through PCA, and also systematic risk that cannot be removed through portfolio diversification. In other words, the fat-tails of return distributions have the properties of the common factors, which may explain the changes of stock returns. Meanwhile, the fatness of the tails in the portfolio return distributions shows the asymmetric relationship of common factors on the tails of return distributions. The negative tail in the portfolio return distribution has a much closer relation with the property of common factors, compared to the positive tail. Research implications or Originality - This empirical evidence may complement the existing studies related to tail risk which is utilized in pricing models as a common factor.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.22-31
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• 2018

Due to the inherent risk factors of the remodeling projects, the remodeling project is failing frequently, and schedule delay are occurring in most remodeling projects. The risk factors that cause the delays in these remodeling projects are not common to all remodeling projects, and the likelihood of risk factors will be affected by the various characteristics of the project. In this context, based on the results of a reliable survey conducted on 29 construction managers who have performed remodeling projects, this research analyzes (1) "importance of each characteristic", which means how frequently the characteristics of the remodeling project affect the occurrence of risk factors, (2) "the likelihood of delay risk factors for remodeling projects", which assesses which risk factors are most likely to occur, and 3) "the level of effect of project characteristics that affects the occurrence of each risk factor." Through this study, the relationship between various characteristics of the office building remodeling projects and the delay risk factors was analyzed in various aspects, in further, it is expected that the owner planning the remodeling will be able to grasp the delay risk that is likely to occur according to the characteristics of the project in advance.

• IE interfaces
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• v.14 no.4
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• pp.421-428
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• 2001

The economic effects of informatization are differently occurred according to industry types. Thus an evaluation methodology which reflects the industry type characteristics of informatization is needed. In this paper, we develop and analyze the indices for evaluating economic effects through informatization according to industry types, such as manufacturing, construction, financial services and marketing services. The factors related to performance of enterprise informatization can be defined as cost factors, effect factors, risk factors and influence factors. Effect factors are defined as quantitative or qualitative performance of informatization and classified into operational effect factors and strategic effect factors. The influence factor is defined as characteristics of informatization for industry types, that is, value chain of business and business products or services. Economic effect indices are classified according to the activity of business value chain. Economic effects indices of this research can be expected to play a role of general and standardized factors for economic evaluation of industry informatization.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.873-880
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• 2021

The purpose of this study is to investigate the impact of internal control on credit risk of joint stock commercial banks in Vietnam from 2007 to 2018. Furthermore, we specify bank-specific characteristics and macroeconomic conditions, and analyze how these factors affect credit risk of banks: the number of board members, the number of board members with banking or finance background as ratio of total board members, loans to total assets ratio, loans to deposit ratio, the number of days between the year-end and the publication of the financial statements, and the use of top four auditing firms proxy for five elements of internal control. By using the dataset of 30 Vietnamese joint stock commercial banks and Bayesian linear regression via Random-walk Metropolis Hastings algorithm, the results of this study show that five elements of internal control have a impact on bank credit risk, namely, control environment, risk assessment, control activities, information and communication, and monitoring activities. For factors of banks' characteristics, bank size and financial leverage have a negative impact on banks' credit risk, and bank age has a positive effect. For macroeconomic factors, inflation has a positive impact and economic growth has a negative impact on banks' credit risk.

• The Journal of Advanced Prosthodontics
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• v.11 no.2
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• pp.75-80
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• 2019

PURPOSE. The purpose of this study is to investigate the effects of aging and various risk factors on the oral environment and to analyze them in 3-dimensions. MATERIALS AND METHODS. A total of 800 patients were enrolled in this study, and subjects were divided into 4 groups by age-under 55, 56 - 65, 66 - 75, and over 76. Based on their most recent visit, the number of crowns, bridges, implants, and the remaining natural teeth were recorded. Smoking habits, along with presence of diabetes and hypertension, were surveyed, as risk factors were also set as a variable. Comparisons among the groups or within the groups were performed by independent t-test, and one-way and two-way ANOVA. Kruskal-Wallis test and Mann-Whitney U test were used for analysis. It was assumed to be statistically significant when P value is below .05. RESULTS. Changes in the number of crowns, bridges, implants, and the remaining natural teeth by age were statistically significant. When we examined the effect of risk factors on the change of variables with age, hypertension was found to affect the number of bridges. Diabetes and smoking were found to affect the number of the remaining natural teeth. The other variables were not statistically significant. CONCLUSION. Aging is considered to be an important variable affecting the change of oral environment. Among the risk factors, the presence of smoking habit and diabetes is thought to have a great influence on the change of the number of the remaining natural teeth.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.139-148
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• 2011

u-City projects are different with the existing urban development projects progress via convergence with IT technology. Therefore, it inheres many risk factors more than the existing development projects as including more complexity and variety. The risk management system to systematically manage those risks which get identified and quantified is required. Especially, the planning phase that is appeared the various forms has a large effect on the success of the business. However, the management of risk factors remains in the passive form. So the problems on u-City project in the planning phase and risk factors of existing development business were analyzed for the continuous growth and the successful performance of u-City project, and those risk factors was identified and quantified by using statistical technique. In the results of it, the core risk factors were obtained through which way and the basis for the effective risk management in u-City business is provided.

• Journal of Preventive Medicine and Public Health
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• v.49 no.6
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• pp.367-375
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• 2016

Objectives: The established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis investigated the association between breast density in mammography and breast cancer risk in Asian women. Methods: PubMed and Scopus were searched, and the final date of publication was set as December 31, 2015. The effect size in each article was calculated using the interval-collapse method. Summary effect sizes (sESs) and 95% confidence intervals (CIs) were calculated by conducting a meta-analysis applying a random effect model. To investigate the dose-response relationship, random effect dose-response meta-regression (RE-DRMR) was conducted. Results: Six analytical epidemiology studies in total were selected, including one cohort study and five case-control studies. A total of 17 datasets were constructed by type of breast density index and menopausal status. In analyzing the subgroups of premenopausal vs. postmenopausal women, the percent density (PD) index was confirmed to be associated with a significantly elevated risk for breast cancer (sES, 2.21; 95% CI, 1.52 to 3.21; $I^2=50.0%$). The RE-DRMR results showed that the risk of breast cancer increased 1.73 times for each 25% increase in PD in postmenopausal women (95% CI, 1.20 to 2.47). Conclusions: In Asian women, breast cancer risk increased with breast density measured using the PD index, regardless of menopausal status. We propose the further development of a breast cancer risk prediction model based on the application of PD in Asian women.

• Korean Journal of Bronchoesophagology
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• v.17 no.2
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• pp.98-103
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• 2011

Purpose Pulmonary complications continue to be the major cause of morbidity and mortality after esophageal resection. The aim of this study was to compare and analyze retrospectively the factors which effect for postoperative pulmonary complications in patients who underwent curative resection for esophageal cancer. Material and Method A total of 118 patients were enrolled in the study from January 1994 to March 2009, and patients with previous neoadjuvant chemotherapy or radiotherapy were excluded. Of the total 118 patients, 27 patients developed pulmonary complications within 30 days of their operation. the factors which effect for postoperative pulmonary complications were compared and analyzed. Results There were 7 patients in-hospital deaths. 51 patients (43.2%) developed complications, and of them, the most common complication was pulmonary complication and occurred in 27 patients (22.9%). In univariate analysis, diabetes mellitus, cervical anastomosis through the retrosternal route, old age and poor lung function were risk factors contributing to postoperative pulmonary complications (p<0.05). In multivariate analysis, statistically significant factor was old age (65 years or older). Conclusion Clinical factor for the pulmonary complications after esophagectomy of esophageal cancer was significantly associated with diabetes mellitus, cervical anastomosis through the retrosternal route, old age (65 years or older) and poor lung function (FEV1<80%). Of these, old age was the most significant factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.5
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• pp.765-777
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• 2015

This study examined the e-WOM acception and transmission motive of Chinese online fashion product shoppers in their 20s and analyzed the effect of acception and transmission motive factors on acception and transmission behavior. This study investigated the effect of acception and transmission behaviors on purchase satisfaction. Analysis was conducted with data collected from 373 Chinese individuals in their 20s. Data were analyzed with factorial analysis, ANOVA, multiple regression analysis, chi-square test, paired t-test, and Cronbach's ${\alpha}$ using SPSS 18.0. The results were: 1. The factor analysis of e-WOM acception motive extracted two factors: risk reduction and confidence. The factor analysis of e-WOM transmission motive extracted three factors: Compensation/pleasure, advice, and emotion expression. 2. The two motives of e-WOM acception affected acception behavior. Confidence motive affected acception behavior more than risk reduction motive. The three motives of e-WOM transmission motives affected transmission behavior. Transmission behavior affected by advice, compensation/pleasure, and emotion expression in order of significance. 3. e-WOM acceptance behavior affected purchase satisfaction more than transmission behavior.