• 보건의료산업학회지
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• 제13권4호
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• pp.133-144
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• 2019

Objectieves: 본 논문의 목적은 정형외과 수술 중 골결손에 대하여 β-TCP를 이용하여 치료 받은 대상자의 방사선학적 결과를 평가하기 위함이다. Methods: 총 49명의 대상자 중 24명 (49.0%)는 남자 였으며, 25명 (51%)는 여자였다. 요인 분석을 위하여 의무 기록 검토가 시행되었다. 각 시기별로 골대체재의 흡수 정도는 Irwin 의 방사선학적 체계에 따라서 평가되었다. Results: 술 후 3개월 째, 세 가지 측정 변수인 골대체제 이식 견고성, 진단 당시 나이, 병변의 부피에 의한 회귀 모형의 설명력은 65.6% 였다. 술 후 6개월 째, 두 가지 측정 변수인 병변의 부피, 골대체제 이식 견고성에 의한 회귀 모형의 설명력은 32.9% 였다. 술 후 9개월 째, 두 가지 측정 변수인 병변의 장축 길이, 골대체제 이식 견고성에 의한 회귀 모형의 설명력은 30.8% 였다. Conclusions: 골대체제 이식 견고성, 병변의 부피, 진단 당시 나이 그리고 병변의 장측 길이가 골대체제의 흡수에 영향을 미치는 인자였다.

• The International Journal of Costume Culture
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• 제6권2호
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• pp.93-104
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• 2003

The purpose of this study was to investigate the relationship between women's face satisfaction and makeup satisfaction, to disclose the differences of makeup satisfaction according to demographic variables, and to examine how makeup satisfaction was influenced by face satisfaction and demographic variables. The subjects were 200 women over age 17 living in Seoul and its peripheral areas. The results of this study were as follows: Face satisfaction were drawn three factors. Factor 1 was face contour satisfaction, Factor 2 was skin satisfaction, and Factor 3 was lips and eyes satisfaction. There were significant positive relationship between factors of face satisfaction and makeup satisfaction. Also, the face contour satisfaction was in positive correlation with satisfaction of features, and the skin satisfaction was in positive correlation with that of features. There were significant positive correlations between makeup satisfaction and face shape, eyes, nose, lips, chin, and cheek bone satisfaction. Face satisfaction didn't show significant difference according to demographic variables, but makeup satisfaction showed significant difference according to age and occupation. Face satisfaction was influenced by the facial face, clarity of skin, elasticity of skin, skin color, and ages. The explanatory power of the 4 variables were 24.5%. Makeup satisfaction was influenced by lips and eyes satisfaction, ages, and skin care level. The explanatory power of the 3 variables were 13.3%.

• 한국직업건강간호학회지
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• 제28권2호
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• pp.94-103
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• 2019

Purpose: This study aimed to investigate variables affecting health-related quality of life of manufacturing industry workers. Methods: We used data from 200 survey questionnaires collected from a vehicle manufacture factory located in Ulsan metropolitan area. The participants were manufacturing workers. The data were analyzed using t-test, one-way analysis of variance, and $Scheff{\acute{e}}^{\prime}s$ test to identify differences among variables. Pearson's correlation coefficient and stepwise multiple regression were used to identify variables that affected health-related quality of life. Results: The findings revealed that occupational stress and quality of sleep were statistically significant variables of the physical component score with an explanatory power of 42.2%. Occupational stress, depression, and religion were statistically significant variables of the mental component score with an explanatory power of 43.3%. Conclusion: Continuous monitoring and appropriate intervention for occupational stress, quality of sleep, and depression are needed to improve manufacturing workers' health-related quality of life.

• 아태비즈니스연구
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• 제14권1호
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• pp.411-426
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• 2023

Purpose - The purpose of this study was to explore and diagnose the characteristics and behavioural patterns of rural tourists after COVID-19 using decision tree analysis to classify and identify key segmentation groups. Design/methodology/approach - The CHAID algorithm was used as the analysis technique for the decision tree. The explanatory variables used in the analysis of each decision tree model were demographic variables and rural tourism usage behaviour and perception variables, and the target variables were the preferences of rural tourists' activities after COVID-19. From the Rural Tourism 2020 survey data, 614 samples with rural tourism experience were extracted and used in the analysis. Findings - The variables that significantly explained the preference for each type of rural tourism activity after COVID-19 were rural tourism safety perception, repeated visits to the region, rural tourism priority activity, rural tourism accommodation experience, gender, age group, marital status, occupation, and education level. Among them, rural tourism safety perception was the most important explanatory variable in each analysis model. Research implications or Originality - Overall, to promote rural tourism, it is necessary to enhance the safety image of rural tourism, strengthen loyalty programs for repeat visitors, and develop customized products that reflect the preferred trends of rural tourism.

• Journal of the Korean Data and Information Science Society
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• 제15권4호
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• pp.935-943
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• 2004

Most of the accelerated life tests deal with tests that use only one accelerating variable and no other explanatory variables. Frequently, however, there is a test to use more than one accelerating or other experimental variables, such as, for examples, a test of capacitors at higher than usual conditions of temperature and voltage, a test of circuit boards at higher than usual conditions of temperature, humidity and voltage. A accelerated life test is extended to M-level stress accelerated life test with k-stress variables. The optimal design for Weibull distribution is studied with k-stress variables.

• Journal of the Korean Data and Information Science Society
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• 제26권6호
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• pp.1409-1416
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• 2015

기온의 변화는 인간의 건강뿐 아니라 동식물의 성장, 경제, 사회, 산업, 문화 등의 전 분야에 영향을 준다. 본 연구에서는 수원시 2003년-2012년 기온을 기상자료, 온실가스자료, 대기자료를 이용하여 자기회귀오차 (autoregressive error)모형으로 월별로 분석하였다. 기온을 위한 기상자료로는, 풍속, 강수량, 일사량, 운량, 습도를 사용했고, 온실가스자료는 이산화탄소 ($CO_2$), 메탄 ($CH_4$), 아산화질소 ($N_2O$), 염화불화탄소 ($CFC_{11}$), 대기자료는 미세먼지 ($PM_{10}$), 이산화황 ($SO_2$), 이산화질 소 ($NO_2$), 오존 ($O_3$), 일산화탄소 (CO)을 사용하였다. 기온을 월별 분석한 결과 기상변수로는 일사량, 운량, 풍속이 영향을 많이 주는 것으로 분석되었다. 특히 일사량은 봄, 여름, 가을에 영향을 많이 주고 풍속은 겨울에 영향을 많이 주는 것으로 나타났다. 온실가스변수로는 염화불화탄소와 메탄이 기온에 영향을 많이 주고 대기변수로는 오존이 영향을 많이 주는 것으로 타났다. 자기회귀오차모형으로 월별 기온을 43%~69% 정도 설명할 수 있다.

• 한국동물위생학회지
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• 제32권3호
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• pp.265-273
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• 2009

A cross-sectional survey was undertaken to identify risk factors and clinical signs associated with parasitic helminth infections of cattle in Mymensignh district of Bangladesh. A nonrandom convenience sampling method was used to select 138 animals from 40 farmers/herds. The eggs per gram of faeces (epg) for nematodes and trematodes were determined by McMaster and Stoll's methods respectively. Animal-level and herd-level data were recorded by means of a questionnaire. Multi-collinearity amongst explanatory variables were assessed using $2{\times}2{\times}\;X^2$ test and one variable in a pair was dropped if $P{\leq}0.05$ formultiple logistic regression models. Association study between outcome and explanatory variables was conducted using classification tree, random forests and multiple logistic regression. A positive epg was considered as infected. Analyses were performed using $STATA^{(R)}$, version 8.0/Intercooled and $R^{(R)}$, Version 2.3.0. Seventy eight percent of the cattle were found to be infected with at least one type of helminth. Twenty four pairs of combinations of explanatory variables showed significant associations. Male animals (OR=3.3, P=.006, 95% CI=1.4, 7.7) were associated with significantly increased prevalence of nematode infection. Female cattle of the study area are mostly cross-breed, kept indoor, fed relatively good diet and not used for draught purpose. Males are used for draught purpose thereby more exposed to nematode infective stage and provided with relatively poor diet. So stressed male cattle may become more susceptible to nematode infection. All of the three statistical techniques selected gender and lumen motility as most important variables in association with nematode infection in cattle. The result of this survey can only be extrapolated to the periurban cattle population of traditional management system.

• Journal of the Korean Data and Information Science Society
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• 제21권2호
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• pp.279-289
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• 2010

이 논문에서는 호흡곤란을 주호소로 내원한 668명의 환자를 대상으로 입퇴원 결정을 위한 간편한 통계모형을 제안한다. 이것을 위해 55개 변수 중 임상전문가에 의해 중요하다고 선택된 11개 변수를 설명변수로 이용하였다. 먼저 변환과정으로 11개 연속형 변수 각각에 대해 실제 입원과 퇴원 환자의 커널밀도함수에 의해 퇴원구간을 설정하였다. 다음으로 11개 설명변수 중 퇴원구간에 속한 변수의 개수를 가지고 환자의 퇴원여부를 결정하는 최적 모형을 선택하였다. 입원과 퇴원 환자수의 불균형 때문에 최적 모형의 선택기준으로는 민감도와 특이도의 산술평균과 민감도와 정확률의 조화평균을 이용하였다. 그 결과 11개의 검사결과 중 7개 이상에서 퇴원구간이 나오면 퇴원을 결정하는 것이 최적 모형이 되었다.

• 한국도로학회논문집
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• 제14권5호
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• pp.189-199
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• 2012

PURPOSES: The purpose of this study is to propose a new methodology for developing statistical collision models and to show the validation results of the methodology. METHODS: A new modeling method of introducing variables into the model one by one in a multiplicative form is suggested. A method for choosing explanatory variables to be introduced into the model is explained. A method for determining functional forms for each explanatory variable is introduced as well as a parameter estimating procedure. A model selection method is also dealt with. Finally, the validation results is provided to demonstrate the efficacy of the final models developed using the method suggested in this study. RESULTS: According to the results of the validation for the total and injury collisions, the predictive powers of the models developed using the method suggested in this study were better than those of generalized linear models for the same data. CONCLUSIONS: Using the methodology suggested in this study, we could develop better statistical collision models having better predictive powers. This was because the methodology enabled us to find the relationships between dependant variable and each explanatory variable individually and to find the functional forms for the relationships which can be more likely non-linear.

• 디지털융복합연구
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• 제19권5호
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• pp.241-247
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• 2021

본 연구는 1990년도부터 2019년까지 거래소에 상장된 기업들을 대상으로 발생액 추정모형의 설명력 변화를 분석하였다. 기존의 발생액 추정모형에 사용된 재무적 변수들이 특성이 시간이 지남에 따라 변화하거나, 전체 발생액 중에서 재량적 발생액의 비중이 변화하면 모형의 설명력에도 변화가 있을 것으로 기대하고 이를 가설화하여 분석하였다. 회귀 분석결과 수정 Jones 모형(1995)은 시간의 경과에 따라 그 설명력이 점차 낮아짐을 발견하였다. 이는 발생액 자체의 증가와 모형에 포함된 변수들의 분포가 변화함에 기인하는 것으로 추정된다. 본 연구의 시계열적 분석 결과는 이익조정 연구 등 학술적인 면이나 회계 정보를 이용하는 이용자에게 중요한 시사점을 제공할 것으로 기대된다.