• 제목/요약/키워드: Stepwise Regression Analysis

검색결과 1,501건 처리시간 0.026초

뇌전증 소아청소년 환아의 자아개념에 영향을 미치는 요인에 대한 연구 (A Study on the Factors Affecting Self-Concept of Children and Adolescents with Epilepsy)

  • 하수희;최희연;이향운;김의정
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제28권4호
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    • pp.252-259
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    • 2017
  • Objective: The purpose of this study was to investigate the impact of clinical and psychological factors on the self-concept of children and adolescents with epilepsy. Methods: Children and adolescents with epilepsy (n=60; age range=9-17 years) completed questionnaires about their epilepsy-related variables, self-concept, depressive symptoms, anxiety, family functions, and behavioral problems. The T-test and one-way analysis of variance were used to examine the variables affecting the total self-concept scores. To determine the independent variables by adjusting the significant variables, a stepwise regression analysis was performed. Results: In the correlational analysis, age, depressive symptoms, anxiety, social problems, attention problems, and internalizing problems had significantly negative correlations with self-concept. On the other hand, IQ and family functions showed positive correlations with selfconcept. Age (${\beta}=-0.177$, p=0.015), depressive symptoms (${\beta}=-0.487$, p<0.001), anxiety (${\beta}=-0.298$, p=0.008), and attention problems (${\beta}=-0.138$, p=0.048) were analyzed as independent factors to assess their impact on self-concept, and were found to account for 78.3% of the variance in self-concept by stepwise regression analysis. Conclusion: Parents and clinicians should pay attention to improving the self-concept of children and adolescents with epilepsy, especially if they have problems with depression, anxiety, or attention.

낙동강 중점관리지류·지천의 계절적 오염발생특성 분석 (A Study on Seasonal Pollutant Distribution Characteristics of Contaminated Tributaries in Nakdong River Basin)

  • 나승민;권헌각;신상민;손영규;신동석;임태효
    • 한국습지학회지
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    • 제18권3호
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    • pp.301-312
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    • 2016
  • 본 연구는 낙동강수계 중점관리하천인 35개 지류 지천 수질 및 유량을 모니터링하고 수질오염농도, 발생부하량, 계절별 오염특성과 수질항목 간 상관관계 및 다중회귀분석을 실시하여 지류중심의 오염특성을 확인하였다. 그 결과 COD, TP, TOC 및 TN을 제외한 대부분의 하천에서 $BOD_5$, Chl_a 및 Fecal E. Coli 등은 50% 이상이 하천수질항목 II(약간좋음)등급 이하에 속하였다. 비유량(Q)은 $0.05m^3/s/km^2$ 이상 지점이 54.4%(19지점)를 차지하였고, 이 가운데 달서천, 현지천, 석교천1, 의령천1 및 대산천2 지점 등은 오염농도 역시 높아 오염물질부하량을 고려한 상세조사가 필요할 것으로 판단된다. 35개 중점관리지천은 낙동왜관, 금호강, 낙동고령, 낙동창녕, 남강, 낙동밀양 및 낙동강하구언 등 7개 중권역에 속하였으며, 이 가운데 금호강과 남강 중권역은 영천댐, 가창댐, 공산댐 및 남강댐과 같은 인공댐의 영향을 받아 다른 중권역과 달리 일정한 하천 유지유량을 보임으로써 오염물질부하량도 높게 조사되었다. 계절적 오염특성을 살펴볼 때, 농도편차가 큰 수질항목은 $BOD_5$, TN, SS, 비유량(Q)이, 큰 편차가 없는 항목은 TP와 Chl_a가 관찰되었고 이는 강우특성 및 유 무기물의 분해특성이 다르기 때문으로 판단된다. 이러한 결과를 바탕으로 계절별/수질항목 간 상관관계는 피어슨 상관계수(Pearson correlation coefficient)를 이용하여 분석하였고, 일부 항목을 제외한 모든 계절에서 TOC와 COD의 상관성이 높음을 확인하였다. 계절별 상관관계가 높은($R2{\geq}0.5$) 수질항목들이 $BOD_5$에 미치는 영향력을 알아보기 위해 단계선택방법(Stepwise regression method)을 이용한 다중회귀분석(Multiple regression analysis)을 실시함으로써 계절별 영향력이 높은 수질인자 및 회귀식을 제시하였다. 그 결과 겨울철을 제외한 봄, 여름 및 가을에 다중회귀분석이 적합하였고 봄철에는 COD, TP가, 여름철에는 Chl_a, TOC가 가을철에는 TOC 및 COD가 $BOD_5$에 영향력이 높음을 확인하였다.

신생아의 리보플라빈과 피리독신 영양상태 및 이에 영향을 미친 요인 분석 (Riboflavin and Pyridoxin Nutritional Status of Newborns : A Multiple Regression Analysis of Its Determining Factors)

  • 정혜경
    • Journal of Nutrition and Health
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    • 제27권4호
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    • pp.368-377
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    • 1994
  • The purpose of this study was to investigate determining factors which influence the riboflavin and pyridoxin nutritional status of korean newborns. The riboflavin and pyridoxine nutriture were evaluated by measuring the enzymecoenzyme saturation kinetics of erythrocyte glutathione reductase and alanine aminotransferase. The subjects were 259 newborns and their mothers. The average activity coefficent values of the cord blood EALAT was 1.4$\pm$0.11 and 32% of the samples had EALATAC values greater than 1.25. EGRAC was 1.26$\pm$0.12 and 27.4 of the blood samples had EALATAC values greater than 1.25. Vitamine B6 nutrition of the newborns whose mothers consumed more energy, protein and vitamine B6 was better as cord blood EALATAC values were found to the lower in this group. A stepwise multiple regression analysis showed that birth length and mother's age significantly influenced EGRAC values, positive and negative ways, respectively.

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여자노인의 성역할 태도와 결혼만족도에 관한 연구(I) (A Study of Marital Satisfaction According to Sex-role Attitude for the Elderly Women)

  • 이신숙
    • 한국가정과학회지
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    • 제1권2호
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    • pp.48-60
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    • 1998
  • The purpose of this study was to investigate the relational between elderly women's sex-role attitude and their marital satisfaction. For this purpose, a questionnaire was surveyed 186 elderly women living in Kwangiu and Chonnam. The collected data were analyzed by using frequency, percentage, mean, standard deviation, ANOVA and stepwise regression analysis. The results of this research were as follows ; First The total points of the elderly women's sex-role attitude score was 16.4, which was represented mixed trends of traditional and modem. And the total points of the elderly women's marital satisfaction score was 31.6, which was higher than the median 30. Second, Elderly women's sex-role attitude score was meaningfully different according to education level, health state, economic state. And elderly women's marital satisfaction score was meaningfully different according to social activity, economic state, health state, education level, age. Third, As the results of regression analysis, it was shown that the highest influencing variable on their marital satisfaction was the social activity, economic state, education level. All of them explained 19% of their marital satisfaction. (Korean J Human Ecology 1(2):48-60, 1998)

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A Study on the Fault Process and Equipment Analysis of Plastic Ball Grid Array Manufacturing Using Data-Mining Techniques

  • Sim, Hyun Sik
    • Journal of Information Processing Systems
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    • 제16권6호
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    • pp.1271-1280
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    • 2020
  • The yield and quality of a micromanufacturing process are important management factors. In real-world situations, it is difficult to achieve a high yield from a manufacturing process because the products are produced through multiple nanoscale manufacturing processes. Therefore, it is necessary to identify the processes and equipment that lead to low yields. This paper proposes an analytical method to identify the processes and equipment that cause a defect in the plastic ball grid array (PBGA) during the manufacturing process using logistic regression and stepwise variable selection. The proposed method was tested with the lot trace records of a real work site. The records included the sequence of equipment that the lot had passed through and the number of faults of each type in the lot. We demonstrated that the test results reflect the real situation in a PBGA manufacturing process, and the major equipment parameters were then controlled to confirm the improvement in yield; the yield improved by approximately 20%.

회귀계수의 유의성 검정방법에 따른 설계강우량 시간분포 분석 (Temporal distritution analysis of design rainfall by significance test of regression coefficients)

  • 박진희;이재준
    • 한국수자원학회논문집
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    • 제55권4호
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    • pp.257-266
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    • 2022
  • 국지성 호우 및 설계빈도 이상 강우의 증가로 침수피해가 매년 증가하고 있으며 이에 따라 홍수 조절 및 방어를 위한 수공구조물의 중요성이 증가하고 있다. 수공구조물은 목적과 성능에 따른 설계가 이루어지고 있고 홍수량이 중요한 산정 요소이나 국내에서는 관측자료의 신뢰성 부족 및 데이터의 부족으로 인하여 수공구조물 설계를 위한 수문해석 입력자료로 사용되는 설계강우량은 정확한 확률강우량의 산정과 시간분포가 중요한 요소로 작용한다. 실무에서는 Huff의 4분위 방법의 누가우량백분율을 이용하여 설계강우량의 시간분포 회귀식을 산정하고 있으며 분위별 곡선에 대한 회귀식은 전반적으로 정확도가 높게 나타나는 6차 다항회귀식을 일률적으로 사용하고 있다. 본 연구에서는 실무에서 일반적으로 설계강우량의 시간분포를 위해 사용하고 있는 Huff의 4분위 방법의 누가우량백분율을 이용하여 통계 모델링에서 간결함의 원리에 따라 변수선택법을 이용하여 시간분포 회귀식을 유도하였으며, 유의성 검정을 통한 시간분포 회귀식의 검증을 실시하였다. 변수선택법과 유의성 검정을 통한 시간분포 회귀식 산정 결과 전진선택법과 후방제거법의 장점을 모두 가지고 있는 단계선택법을 이용하여 시간분포 회귀식을 유도하는 것이 가장 적합한 것으로 분석되었다.

수정 결정계수를 사용한 로지스틱 회귀모형에서의 변수선택법 (Variable Selection for Logistic Regression Model Using Adjusted Coefficients of Determination)

  • 홍종선;함주형;김호일
    • 응용통계연구
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    • 제18권2호
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    • pp.435-443
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    • 2005
  • 로지스틱 회귀모형에서 결정계수는 선형 회귀모형보다 다양하게 정의되며 그 값들도 매우 작아 로지스틱 회귀모형 평가기준으로 사용되는 통계량이 라고 할 수 없다. Liao와 McGee(2003)는 부적절한 설명변수의 추가 또는 표본크기의 변화에 민감하지 않은 두 종류의 수정 결정계수를 제안하였다. 본 연구에서는 실제자료에 적용한 로지스틱 회귀모형에서 수정 결정계수를 포함한 네 종류의 결정계수들을 변수선택의 기준으로 사용하여 기존의 변수선택 방법인 전진선택, 후진제거, 단계적 선택방법, AIC 통계량 등을 사용한 방법들과 비교하여 그 적절함과 효율성을 토론한다.

FACTORS AFFECTING PRODUCTIVITY ON DAIRY FARMS IN TROPICAL AND SUB-TROPICAL ENVIRONMENTS

  • Kerr, D.V.;Davison, T.M.;Cowan, R.T.;Chaseling, J.
    • Asian-Australasian Journal of Animal Sciences
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    • 제8권5호
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    • pp.505-513
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    • 1995
  • The major factors affecting productivity on daily farms in Queensland, Australia, were determined using the stepwise linear regression approach. The data were obtained from a survey conducted on the total population of daily farms in Queensland in 1987. These data were divided into six major dailying regions. The technique was applied using 12 independent variables believed by a panel of experienced research and extension personnel to exert the most influence on milk production. The regression equations were all significant (p < 0.001) with the percentage coefficients of determination ranging from 62 to 76% for equations developed using' total farm milk: production as the dependent variable. Three of the variables affecting total farm milk: production were found to be common to all six regions. These were; the amount of supplementary energy fed, the area set aside to irrigate winter feed and the size of the area used for dailying. Higher production farms appeared to be more efficient in that they consistently produced milk production levels higher than those estimated from the regression equation for their region. Other methods of analysis including robust regression and non linear regression techniques were unsuccessful in overcoming this problem and allowing development of a model appropriate for farms at all levels of production.

검색엔진의 고객만족도 측정 및 평가 (The Evaluation and Measurement of Customer Satisfaction for Search Engines)

  • 최성운;이락구
    • 산업경영시스템학회지
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    • 제24권67호
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    • pp.83-92
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    • 2001
  • This paper is to measure and evaluate the degree of customer satisfaction for internet search engines. The service quality scale is developed after testing validity and reliability through the result of inquiring into the literature and the interview of university students. The stepwise regression analysis using MINITAB is used to analyze the survey results.

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Can Urinary Cotinine Predict Nicotine Dependence Level in Smokers?

  • Jung, Hyun-Suk;Kim, Yeol;Son, Jungsik;Jeon, Young-Jee;Seo, Hong-Gwan;Park, So-Hee;Huh, Bong Ryul
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권11호
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    • pp.5483-5488
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    • 2012
  • Background: Although nicotine dependence plays a role as a main barrier for smoking cessation, there is still a lack of solid evidence on the validity of biomarkers to determine nicotine dependence in clinical settings. This study aimed to investigate whether urinary cotinine levels could reflect the severity of nicotine dependence in active smokers. Materials and Methods: Data regarding general characteristics and smoking status was collected using a self-administered smoking questionnaire. The Fagerstr$\ddot{o}$m test for nicotine dependence (FTND) was used to determine nicotine dependence of the participants, and a total of 381 participants were classified into 3 groups of nicotine dependence: low (n=205, 53.8%), moderate (n=127, 33.3%), and high dependence groups (n=49, 12.9%). Stepwise multiple linear regression model and receiver operating characteristic (ROC) curves analyses were used to determine the validity of urinary cotinine for high nicotine dependence. Results: In correlation analysis, urinary cotinine levels increased with FTND score (r=0.567, P<0.001). ROC curves analysis showed that urinary cotinine levels predicted the high-dependence group with reasonable accuracy (optimal cut-off value=1,000 ng/mL; AUC=0.82; P<0.001; sensitivity=71.4%; specificity=74.4%). In stepwise multiple regression analysis, the total smoking period (${\beta}$=0.042, P=0.001) and urinary cotinine levels (${\beta}$=0.234, P<0.001) were positively associated with nicotine dependence, whereas an inverse association was observed between highest education levels (>16 years) and nicotine dependence (${\beta}$=-0.573, P=0.034). Conclusions: The results of this study support the validity of using urinary cotinine levels for assessment of nicotine dependence in active smokers.