http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
전예나,전정우,홍지헌,유재호,김진섭,김성길,이동엽 대한통합의학회 2023 대한통합의학회지 Vol.11 No.3
Purpose : Until recently, the number of cancer patients continues to increase, and these patients have many limitations in their activities of daily living. In the republic of Korea, cancer patients are showing an increasing trend every year. Cancer disease not only significantly reduces the quality of life in individuals, but also causes various side effects if not managed. The purpose of this study was to investigate the effects of aerobic exercise and resistance exercise on health-related problems in cancer patients. Methods : This study searched for studies that applied aerobic exercise and resistance exercise to cancer patients reported in search engines (google scala, dbpia, and pubmed) from 2017 to 2022. Six randomized controlled trials and two systematic reviews and meta-analyses were used for analysis in our study. “physical activity”, “exercise”, “aerobic exercise”, “resistance exercise”, and “cancer patient” were the main search terms. The data included aerobic exercise, resistance exercise, cancer patients’ muscle strength, physical strength, quality of life, and physical activity. Results : According to the eight studies that met the criteria included in this review study, it was found that aerobic exercise and resistance exercise had an effect on the increase in physical fitness, muscular strength, quality of life, and range of motion in cancer survivors. Conclusion : It was confirmed that aerobic exercise and resistance exercise are safe and effective interventions that can be applied to cancer patients without side effects. A limitation of this study is that it did not examine cancer diseases in various population groups such as the elderly and children. Therefore, in future studies, studies that consider specific details such as age, gender, type of cancer, and physical differences are needed.
Nonparametric Bayesian modeling for baseline hazard functions
전예나,김세중,조장희,김용구 한국데이터정보과학회 2022 한국데이터정보과학회지 Vol.33 No.4
Survival analysis is primarily used to identify the time-to-event for events of interest. The Cox proportional hazards model takes advantage that it accounts for the proportionate risks of covariates without estimating exact baseline hazards. However, estimation of exact hazard distribution is always accompanied by estimating baseline hazard function as well as regression parameters. In this study, we adopted nonparametric Bayesian hierarchical model with flexible priors in estimating cumulative baseline hazard function. We assume a monotone step function for the cumulative baseline hazard function, where the number, size, and location of jumps are random. By Estimating the step function through stick-breaking construction, we can obtain a totally data-driven step function.
선형모형의 가설하에서 비선형 검정통계량간의 상호관계분석
전예지,조진서 통계청 2015 통계연구 Vol.20 No.1
This paper analyzes the interrelationships among Wald, likelihood ratio, Lagrange multiplier statistics for testing neglected nonlinearity. We show that the three test statistics are equivalent under the null although there exists a twofold identification problem. This implies that the trinity property holds for the tests as for the standard case. 본 연구는 비선형모형의 가설검정을 위해서 사용할 수 있는 왈드(Wald), 우도비(likelihood ratio), 라그랑쥐 승수(Lagrange multiplier) 검정통계량을 선형모형의 가설하에서 연구한다. 구체적으로선형모형의 귀무가설 하에서 이들이 어떠한 점근분포를 취하며 어떤 관계가 있는지 살펴본다. 그 결과 식별의 문제가 두 겹으로 존재함에도 불구하고, 상기 세 검정통계량 간에는 삼위일체의성질이 존재함을 보이고 이를 모의실험을 통하여 재확인한다.