• 한국대기환경학회지
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• 제5권2호
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• pp.30-35
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• 1989

To effectively develop and evaluate air pollution control measures, health risk rates due to air pollution must be identified. This article describes the application of a visual analysis and an air pollution-health risk model for determining the impacts of carbon monoxide (CO) exposure on angina pectoris patients in a metropolitan area. The procedures used for analyzing the relationship between CO exposure and the related increase in angina angina attacks for stable angina pectoris patients are described through a case study in the city of Seoul, Korea and the findings show that air-pollution-health risk model and visual analysis can be effective tools for environmental decision-makers, allowing air pollution control scenarios to be developed and evaluated for environmental protection. One of the features of this study is to provide a methodology for translating clinical findings into estimates of the relative contributions of air pollution to all causes of a particular disease. Therefore, there must be appropriate recognition of the uncertainties involved in the study.

• 한국정보보호학회:학술대회논문집
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• 한국정보보호학회 1996년도 종합학술발표회논문집
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• pp.65-74
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• 1996

Risk analysis is time-consuming and expensive process〔1〕〔6〕. Automated risk analysis tools have been widely used in industry and government to support decision making process and reduce cost. However, difficulties in materializing impact of threats and fast-changing network environments make analysis process more complicated and less trusted since impacts are relative in network environments. HAWK system is developed to improve the accuracy of analysis result in network-oriented environment. It provides user-friendly environments and considers network environments as primary assets.

• 수면정신생리
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• 제17권1호
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• pp.11-15
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• 2010

Obstructive sleep apnea is a common sleep disorder that predominantly affects adult men than women. However, the prevalence in women increases with menopause dramatically. Menopause has long been described as a risk factor for obstructive sleep apnea. Recent large well-designed population studies support that menopause increases the risk for sleep-disordered breathing. The mechanism of that hypothesis is not yet clear. But, the decline in progesterone has been thought to influence the development of obstructive sleep apnea because progesterone is a respiratory stimulant and plays a protective role against sleep apnea. Increased visceral obesity and hypertension as major symptoms of metabolic syndrome are also associated with menopause and place women at increased risk for obstructive sleep apnea and other serious health problem. Hormone replacement therapy has been associated with a lower prevalence of sleep apnea. But, relative risk and benefits of hormone replacement therapy compared with other treatment options will require thorough consideration for each individual woman. Finally, attention should be drawn to the need for obstructive sleep apnea evaluation in perimenopausal and postmenopausal women.

• Communications for Statistical Applications and Methods
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• 제30권1호
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• pp.1-19
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• 2023

Observational data with missing or incomplete data are common in biomedical research. Multiple imputation is an effective approach to handle missing data with the ability to decrease bias while increasing statistical power and efficiency. In recent years propensity score (PS) matching has been increasingly used in observational studies to estimate treatment effect as it can reduce confounding due to measured baseline covariates. In this paper, we describe in detail approaches to competing risk analysis in the setting of incomplete observational data when using PS matching. First, we used multiple imputation to impute several missing variables simultaneously, then conducted propensity-score matching to match statin-exposed patients with those unexposed. Afterwards, we assessed the effect of statin exposure on the risk of heart failure-related hospitalizations or emergency visits by estimating both relative and absolute effects. Collectively, we provided a general methodological framework to assess treatment effect in incomplete observational data. In addition, we presented a practical approach to produce overall cumulative incidence function (CIF) based on estimates from multiple imputed and PS-matched samples.

• 한국화재소방학회논문지
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• 제33권6호
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• pp.63-71
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• 2019

본 연구에서는 화재발생 현황 및 용도별 건축물 통계데이터를 활용하여 전국의 용도별 건축물의 화재위험도를 정량적으로 분석하였다. 화재 및 건축물 통계는 최근 10년간(2008~2017) 데이터를 이용하였으며, 「건축법」과 「소방시설 설치유지 및 안전관리에 관한 법률 시행령」을 통해 용도를 분류하여 자연적 구분법(Natural breaks)으로 상대평가를 실시하여 리스크 매트릭스로 나타내었다. 또한, 본 연구에서 도출한 리스크 매트릭스의 적합성을 검증하기 위하여 2018년도 위험도 등급을 지난 10년 데이터와 비교·분석을 진행한 결과, 위락시설에서 위험도가 IV등급에서 II 등급으로 감소한 결과를 제외하고는 대부분의 시설이 유사한 위험도를 나타내고 있어 과거와 현재의 데이터 상관성이 유효한 것을 확인하여 분류방법이 적절한 것으로 판단하였다. 본 연구에서 제안된 자연적 구분법을 이용한 화재위험도 평가방법은 화재예방에 활용할 수 있을 것으로 확인되었다.

• 해양환경안전학회지
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• 제23권5호
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• pp.447-454
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• 2017

해상에서 두 척의 대형 해양경찰 함정을 이용하여 충돌 가능성이 높은 네 가지 조우방위각($000^{\circ}$, $045^{\circ}$, $090^{\circ}$, $135^{\circ}$)을 설정하여 피험자인 30명의 해양경찰관을 대상으로 조우방위별 거리 3해리(Nautical Mile: NM)에서부터 0.25 NM까지 근접하며 상대거리가 점차 감소될 때 피험자들이 상대선박을 보며 지각한 충돌위험도(Perceived Ship Collision Risk, PSCR)를 측정(0.25 NM 간격으로 기록)하는 실험을 하였고 획득된 데이터를 이용하여 특징을 통계적으로 분석하였다. 본 연구의 목적은 인적오류 예방을 위하여 실선 실험한 선박 조우방위별 상대거리 3 NM에서 0.25 NM까지의 열두 구간에서 획득한 충돌위험도 값을 적정 다항식으로 곡선 근사(Curve Fitting)하여 분포곡선으로 나타내고 특징을 분석하여 항해당직자들이 지각한 충돌위험도의 변화가 최대인 거리를 제시하기 위한 것이다. 분석결과, 각 조우방위에서 거리 구간별 최적의 회귀방정식을 도출하였으며 거리 1.25 1 NM 구간에서 충돌위험도 평균값의 편차가 가장 크게 변화되었고, 특히 1 NM에서 충돌위험도 값이 가장 크게 나타나 실선 실험결과 항해당직자가 지각(Perception)한 충돌위험도의 변화 값이 최대인 거리가 1 NM임을 도출 및 검증하였으며 이는 선박 충돌가능성이 높은 근접상황에서 인적오류 예방 자료로 유용할 것으로 기대된다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권1호
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• pp.589-594
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• 2013

Background: Prospective cohort studies to determine cofactors with oncogenic HPV-infections for cervical cancer are very rare from developing countries and such data are limited to the few screening trials. Large screening trials provide such data as a by product. Some of the cases are prevented by screening and do not surface as invasive cancers at all. Also, pre-invasive lesions are detected almost entirely by screening. Screening causes selection bias if attendance in or effectiveness of screening is correlated with the risk factors. The aim of this study was to quantify the influence of screening on risk factors for cervical cancer. Materials and Methods: Our material stems from a rural cohort of 80,000 women subjected to a randomised screening trial. The effect of screening on the incidence of cervix cancer was estimated with reference to socio-demographic and reproductive risk factors of cervical cancer. We compared these risks with the incidence of cancer in the randomised control population by the same determinants of risk. Results: The results in the screening arm compared to the control arm showed that the women of low SES and young age were benefitting more than those of high SES and old age. The relative risk by age (30-39 vs 50-59) was 0.33 in the control arm and 0.24 in the screening arm. The relative risk by education (not educated vs educated) was 2.8 in the control arm and 1.8 in the screening arm. The previously married women did not benefit (incidence 113 and 115 per 100,000 women years in control vs screening arms) whereas the effect was substantial in those married (86 vs 54). Conclusions: The results in controls were consistent with the general evidence, but results in attenders and nonattenders of the screening arm showed that screening itself and self-selection in attendance and effectiveness can influence the effect estimates of risk factors. The effect of cervical cancer screening programmes on the estimates of incidence of cervical cancer causes bias in the studies on etiology and, therefore, they should be interpreted with caution.

• Journal of Preventive Medicine and Public Health
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• 제55권2호
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• pp.164-172
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• 2022

Objectives: We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016. Methods: In this repeated cross-sectional study, the age-standardized risk of suicide mortality from 2006 to 2016 was determined. To estimate the cumulative and temporal risk, the Besag, York, and Mollié and Bernardinelli models were used. Results: The relative risk of suicide mortality was greater than 1 in 43.0% of Iran's provinces (posterior probability >0.8; range, 0.46 to 3.93). The spatio-temporal model indicated a high risk of suicide in 36.7% of Iran's provinces. In addition, significant upward temporal trends in suicide risk were observed in the provinces of Tehran, Fars, Kermanshah, and Gilan. A significantly decreasing pattern of risk was observed for men (β, -0.013; 95% credible interval [CrI], -0.010 to -0.007), and a stable pattern of risk was observed for women (β, -0.001; 95% CrI, -0.010 to 0.007). A decreasing pattern of suicide risk was observed for those aged 15-29 years (β, -0.006; 95% CrI, -0.010 to -0.0001) and 30-49 years (β, -0.001; 95% CrI, -0.018 to -0.002). The risk was stable for those aged >50 years. Conclusions: The highest risk of suicide mortality was observed in Iran's northwestern provinces and among Kurdish women. Although a low risk of suicide mortality was observed in the provinces of Tehran, Fars, and Gilan, the risk in these provinces is increasing rapidly compared to other regions.

• 응용통계연구
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• 제24권5호
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• pp.861-869
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• 2011

최근 유전학에서 주요 목표중 하나는 복합질환에 영향을 미치는 유전적 요인을 찾아내는 것이다. 유전자좌간의 상호작용이 있을 때에는 단일 유전자좌 분석으로는 이러한 목표를 달성하기 어려우므로, 유전자-유전자간 상호작용이나 유전자-환경인자간 상호작용분석을 고려할 필요가 있다. 자주 사용되는 MDR(multifactor dimensionality reduction)방법은 데이터를 고위험군과 저위험군으로 각각 병합하여 사용하므로 특정 유전자형에서 차이가 나는 경우에는 이를 찾아내기 어렵다. 본 연구에서는 이러한 점을 보완하도록 유전자형 조합에서의 대조군과 질환군의 상대위험도를 이용하여 유전자-유전자간 상호작용을 탐색하는 방법을 제안하였다. MDR 공개데이터와 8가지 유전모형으로부터 생성한 모의자료의 분석을 통해 방법의 유용성을 확인하였다.

• 한국산업정보학회논문지
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• 제29권2호
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• pp.101-117
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• 2024

본 연구에서는 금융 분야에서 마이데이터 서비스를 이용하는 사용자가 인식하는 특성을 고려하여 지속적인 사용에 대한 이해와 혁신저항에 어떠한 영향을 미치는지를 목적으로 둔다. 또한 사용자 특성에 대한 인식과 지속적인 사용에 대한 이해력을 높이고 혁신에 대한 사용자의 저항을 해결하는데 미치는 영향에 대한 관계를 탐구하고자 한다. 이를 위해 전문설문기관을 통해 상대적 이점, 인지된 위험, 복잡성, 신뢰성, 인지된 용이성, 신뢰성 등 혁신저항 요인의 상대적인 영향을 조사였으며, 요인간의 관계를 실증분석을 통해 살펴본다. 본 연구의 결과에 따르면 마이데이터 서비스에 대한 저항을 최소화하기 위한 노력을 기울여야 하며, 특히 혁신저항 요인들 중 인지된 용이성, 상대적 이점, 인지된 위험, 복잡성 순으로 영향을 미치는 것으로 나타났다. 혁신저항을 낮추기 위해서는 인지된 용이성의 강화, 상대적 이점 감소, 위험과 복잡성에 대한 인식 관리가 필수적이라 할 수 있다.