연세대학교 · 의학
Sungha Park 교수의 연구실은 순환기 질환의 발병 기전, 특히 동맥경화성 변화와 혈관 경화의 분자 기전에 중점을 두고 있습니다. 고혈압과 기온 변화가 심혈관계에 미치는 영향, 특히 냉각 환경에서의 혈류 역학적 변화와 응고성 증가와의 연관성에 대한 연구도 진행 중입니다. 또한 생존 분석 분야에서의 통계적 방법론 개발을 통해, 특히 형광소멸 모형 기반의 신뢰도 평가 및 적합도 검정 기법에 대한 기여를 하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Increased arterial stiffness is an independent predictor of cardiovascular disease independent from blood pressure. Recent studies have shed new light on the importance of inflammation on the pathogenesis of arterial stiffness. Arterial stiffness is associated with the increased activity of angiotensin II, which results in increased NADPH oxidase activity, reduced NO bioavailability and increased production of reactive oxygen species. Angiotensin II signaling activates matrix metalloproteinases
Epidemiologic studies have consistently demonstrated an increased risk of cardiovascular disease during colder temperatures. Hemodynamic changes associated with cold temperature and an increase in thrombogenicity may both account for the increase in cardiovascular risk and mortality. Studies using both in-office and out-of-office BP measurements have consistently shown an elevation in BP during the colder seasons. The large difference in BP between cold and warm months may increase the incidence
We express the joint entropy of order statistics in terms of an incomplete integral of the hazard function, and provide a simple estimate of the joint entropy of the type II censored data. Then we establish a goodness of fit test statistic based on the Kullback-Leibler information with the type II censored data, and compare its performance with some leading test statistics. A Monte Carlo simulation study shows that the proposed test statistic shows better powers than some leading test statistics
