• Genomics & Informatics
• /
• 제14권4호
• /
• pp.138-148
• /
• 2016

The success of genome-wide association studies (GWASs) has enabled us to improve risk assessment and provide novel genetic variants for diagnosis, prevention, and treatment. However, most variants discovered by GWASs have been reported to have very small effect sizes on complex human diseases, which has been a big hurdle in building risk prediction models. Recently, many statistical approaches based on penalized regression have been developed to solve the "large p and small n" problem. In this report, we evaluated the performance of several statistical methods for predicting a binary trait: stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN). We first built a prediction model by combining variable selection and prediction methods for type 2 diabetes using Affymetrix Genome-Wide Human SNP Array 5.0 from the Korean Association Resource project. We assessed the risk prediction performance using area under the receiver operating characteristic curve (AUC) for the internal and external validation datasets. In the internal validation, SLR-LASSO and SLR-EN tended to yield more accurate predictions than other combinations. During the external validation, the SLR-SLR and SLR-EN combinations achieved the highest AUC of 0.726. We propose these combinations as a potentially powerful risk prediction model for type 2 diabetes.

• 보건행정학회지
• /
• 제27권4호
• /
• pp.296-303
• /
• 2017

Background: This study purposed to analyze regional factors related to gastric cancer screening rate provided by national cancer screening program in Korea. Methods: The unit of analysis was administrative districts of si gun gu level. Dependent variable was regional gastric cancer screening rate provided by national cancer screening program, and regional variables were selected to represent the regional characteristics such as demographic, health behavior and status, socioeconomic, and health resource. Tobit regression was applied for the analysis. Results: Analysis results showed that gastric cancer screening rate was varied depending on regions from 47.8% to 69.1%. Tobit regression showed that gastric cancer screening rate had negative relationships with smoking rate, financial independence rate, and National Health Insurance premium per capita. And regional gastric cancer screening rate had positive relationships with sex ratio and number of gastric cancer screening center. Conclusion: Regional characteristics should be considered in establishing regional policies for increasing the gastric cancer screening rate.

• 보건행정학회지
• /
• 제22권2호
• /
• pp.263-274
• /
• 2012

This study describes the hypertensive patients characteristics associated with the health incentive point program, and develops and analyzes a simple predictive model of participation in the program. Based on the Incheon Chronic Disease Management System(iCDMS), a model program of community partnership for hypertensive or diabetic patients detection and follow-up since 2005 in Incheon metropolitan city, a cross-sectional design was used in this study. An effective 10.844 adults sample was divided into groups according to participation in the health incentive point program and continuing treatment, and individual and health characteristics among groups were compared. Furthermore, the predictors associated with participation in the program were identified by the logistic regression analysis. After the health incentive point program in iCDMS was introduced, the number of hypertensive patients participation in the program increased 23.9 times which is vastly high given the various programs were provided. There were statistically significant differences among the groups: age(p=0.000), treatment compliance(p=0.000), and blood pressure control at the last measurement(p=0.000), in particular, between participation group(GroupI, n=246) and non-participation group(GroupIII, n=10,408). Furthermore, age over 60 years(OR: 0.33), treatment compliance(OR: 3.49~3.78) and blood pressure controls(OR: 2.13~2.30) were statistically significant predictors associated with participation in the program, based on the logistic regression analysis with GroupI and GroupIII. To increase participation in the health incentive point program, variables such as age, treatment compliance and blood pressure controls are more concerned. And, high-risk patients and family members need targeted health incentive programs.

• Journal of Information Processing Systems
• /
• 제6권2호
• /
• pp.235-252
• /
• 2010

Regression testing is a very costly process performed primarily as a software maintenance activity. It is the process of retesting the modified parts of the software and ensuring that no new errors have been introduced into previously tested source code due to these modifications. A regression test selection technique selects an appropriate number of test cases from a test suite that might expose a fault in the modified program. In this paper, we propose both a regression test selection and prioritization technique. We implemented our regression test selection technique and demonstrated in two case studies that our technique is effective regarding selecting and prioritizing test cases. The results show that our technique may significantly reduce the number of test cases and thus the cost and resources for performing regression testing on modified software.

• 디지털융복합연구
• /
• 제15권2호
• /
• pp.89-98
• /
• 2017

본 연구는 인과관계 분석에서 주로 활용되는 SPSS statistics(회귀분석)과 구조방정식모델을 구현하는 프로그램 중 하나인 AMOS 프로그램을 각각 활용하여 동일한 데이터에 대하여 조절효과 검정을 위한 실증분석을 실시하였다. 실증분석 결과, SPSS statistics을 활용한 회귀분석에서 상황변수가 범주형데이터인 성별과 연속형데이터인 컨설팅만족도 모두에서 조절효과가 없는 것으로 나타난 반면, AMOS 프로그램을 활용한 구조방정식모델에서는 10% 유의수준에서 컨설턴트의 능력 및 태도가 컨설팅재구매에 미치는 영향관계를 컨설팅만족도가 부분적으로 조절하고 있는 것으로 나타났다. 결국, 조절효과 분석은 AMOS 프로그램을 활용한 구조방정식모델과 SPSS statistics을 활용한 회귀분석모델이 전혀 다른 접근방법을 사용하고 있어 얼마든지 상이한 결과가 나올 수 있음을 보여준다.

• 한국운동역학회지
• /
• 제14권3호
• /
• pp.301-311
• /
• 2004

The purpose of this study was to verify the usefulness of the Mathcad program as a tool for the studying and teaching the sport biomechanics. A projectile motion was analyzed because it is the one of the most popular motion in sports activities. A 3 dimensional CG data for the high jump bar clear phase was used to calculate the initial velocity vector of the CG. Linear regression function and other functions such as cubic spline and derivative of Mathcad were used to calculate this vector. Finally, the approach angle to the bar and peak jump height was calculated. Programming in Mathcad was relatively easy compare to traditional computer language such as Fortran and C, because of the unique documentation method of Mathcad. Additionally the 2 and 3 dimensional graph function was very easy and useful to describe the mechanical data. If the use of Mathcad program is more popular in the field of sport biomechanics, it could greatly contribute to overcome the limit of research caused by the lack of proper programming ability.

• 한국학교ㆍ지역보건교육학회지
• /
• 제17권3호
• /
• pp.49-59
• /
• 2016

Objectives: This study was conducted to investigate the relationship between self-esteem and stress among adolescents. Methods: The subjects of this study were 1,025 from elementary, middle and high school students in Dangjin city. Data were measured using self-esteem scale and brief encounter psychosocial instrument. The data were analyzed frequencies, t-test, ANOVA, Pearson's correlation coefficient and multiple linear regression analysis using the SPSS 12.0 program. Results: Self-esteem was correlated with stress negatively among adolescents. In multiple linear regression analysis, self-esteem had a statistically significant negative effect on stress. Affecting factors of the self-esteem in all schools were grades, economic status and relationship with parents. Conclusion: The results of this study help to provide a basis for the development of a self-esteem management program to alleviate the stress for adolescents. The program of human relationship should be developed and provided to improve the self-esteem.

• 벤처창업연구
• /
• 제8권3호
• /
• pp.67-76
• /
• 2013

본 연구에서는 예비기술창업자들을 대상으로 창업지원서비스에 대한 만족도를 측정하고, 세부 요인들의 상대적 중요도를 분석하였다. 만족도 측정에는 물리적 설비 지원, 인적자원 지원, 마케팅 지원, 재무 회계 지원, 제품개발 지원 등 5개의 요인을 사용하였다. 만족도 측정결과, 재무 회계 지원 서비스, 물리적 설비 지원 서비스 순으로 만족도가 높게 나타났다. 다중공선성이 존재할 때, 회귀분석을 통해 독립변수들의 상대적 중요도를 파악하는 데는 문제가 있다는 지적이 있어 우세분석을 이용하여 상대적 중요도를 분석하였다. 그리고 그 결과를 회귀분석을 통해 구한 상대적 중요도와 비교해 보았다. 우세분석 결과에서는 제품개발 지원의 상대적 중요도가 가장 높게 나타난 반면, 회귀분석 결과에서는 물리적 설비 지원에 대한 상대적 중요도가 가장 높은 것으로 나타났다. 이러한 비교를 통해 독립변수들 간의 상대적 중요도 차이를 확인하였다. 창업동기별로 창업지원서비스에 대한 만족도와 상대적 중요도를 비교해본 결과에서는 필요형 창업과 기회형 창업별로 만족도와 상대적 중요도가 다르다는 사실도 확인할 수 있었다. 마지막에는 이를 바탕으로 연구의 시사점과 한계점을 제시하였다.

• Journal of applied mathematics & informatics
• /
• 제8권3호
• /
• pp.869-880
• /
• 2001

In this paper, we describe a method for fuzzy polynomial regression analysis for fuzzy input-output data using shape preserving operations based on Tanaka’s approach. Shape preserving operations simplifies the computation of fuzzy arithmetic operations. We derive the solution using general linear program.

• 한국지능시스템학회논문지
• /
• 제13권5호
• /
• pp.571-575
• /
• 2003

In this paper, we describe a method for fuzzy polynomial regression analysis for fuzzy input--output data using shape preserving operations for least-squares fitting. Shape preserving operations simplifies the computation of fuzzy arithmetic operations. We derive the solution using mixed nonlinear program.