• 제목/요약/키워드: Proportional hazards

검색결과 276건 처리시간 0.025초

마팅게일잔차에 기초한 가산위험모형의 적합도검정법 (A goodness-of-fit test based on Martinale residuals for the additive risk model)

  • 김진흠;이승연
    • 응용통계연구
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    • 제9권1호
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    • pp.75-89
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    • 1996
  • 본 논문에서는 하나의 이진공변량(binary covariate)을 갖는 가산위험모형(additive risk model)의 적합도를 검정하기 위한 검정법을 제안하였다. 제안된 검정법은 마팅게일잔차(martingale residual)에 기초한 Wei(1984)의 비례위험모형(proportional hazards model)의 적합도검정법을 가산위험모형으로 확장한 형태이다. 제안된 검정통계량의 점근성질을 유도하였고 실제자료에 적용하여 보았다.

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노인 환자의 수술 전 영양상태가 수술 후 임상경과에 미치는 영향 (The Effect of Preoperative Nutritional Status on Postoperative Outcome in Elderly Patients)

  • 김민영
    • Journal of Korean Biological Nursing Science
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    • 제21권4호
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    • pp.292-299
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    • 2019
  • Purpose: The purpose of this study was to determine whether poor preoperative nutritional status in elderly patients exhibited a negative influence on postoperative clinical outcomes. Methods: The medical records of 645 elderly patients were examined retrospectively. The patients had undergone major surgery between January 2017 and January 2018. Their nutritional status was measured using the Nutritional Risk Screening 2002. The data were analyzed using the chi-squared test, the Mann-Whitney U test, logistic regression, linear regression, Cox proportional hazards regression, and the Kaplan-Meier analysis. Results: Preoperative malnutrition was found in 73 patients (11.3%). Poor preoperative nutritional status was significantly associated with pressure ulcers, length of hospitalization, discharge to patient care facilities rather than home, and mortality rate at three months. Conclusion: Preoperative malnutrition in elderly patients was associated with negative postoperative clinical outcomes. These results indicate that an effective nutritional program before surgery can lead to a more rapid postoperative recovery.

Rompe-Weisel Model에 의한 대전 인체의 정전기 방전 에너지 평가 (Electrostatic Discharge Energy Estimation of the Charged Human Body by the Rompe-Weisel Model)

  • 이종호;김두현;강동규
    • 한국안전학회지
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    • 제18권3호
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    • pp.54-59
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    • 2003
  • The discharge energy by electrostatic discharge of the charged human body is calculated under the assumption that the stored charge is dissipated completely. However, it is well-known that the charge is slightly remained after electrostatic discharge. Therefore, The Rompe-Weisel model of the discharge analysis, which has somewhat more of a physical justification than the conventional energy equation, is proposed. It is proposed that the electrical conductivity of the arc should be proportional to the energy density transferred to it by Ohmic dissipation. For the electrostatic discharge energy analysis, the Rompe-Weisel model was compared by quasi static analysis. As a consequence, a study on a reliable energy evaluation based on simulation models during electrostatic discharge is carried out in this paper and is adopted to estimate the explosion hazards of flammable gases.

유전체 코호트 연구의 주요 통계학적 과제 (Statistical Issues in Genomic Cohort Studies)

  • 박소희
    • Journal of Preventive Medicine and Public Health
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    • 제40권2호
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    • pp.108-113
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    • 2007
  • When conducting large-scale cohort studies, numerous statistical issues arise from the range of study design, data collection, data analysis and interpretation. In genomic cohort studies, these statistical problems become more complicated, which need to be carefully dealt with. Rapid technical advances in genomic studies produce enormous amount of data to be analyzed and traditional statistical methods are no longer sufficient to handle these data. In this paper, we reviewed several important statistical issues that occur frequently in large-scale genomic cohort studies, including measurement error and its relevant correction methods, cost-efficient design strategy for main cohort and validation studies, inflated Type I error, gene-gene and gene-environment interaction and time-varying hazard ratios. It is very important to employ appropriate statistical methods in order to make the best use of valuable cohort data and produce valid and reliable study results.

Penalized variable selection for accelerated failure time models

  • Park, Eunyoung;Ha, Il Do
    • Communications for Statistical Applications and Methods
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    • 제25권6호
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    • pp.591-604
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    • 2018
  • The accelerated failure time (AFT) model is a linear model under the log-transformation of survival time that has been introduced as a useful alternative to the proportional hazards (PH) model. In this paper we propose variable-selection procedures of fixed effects in a parametric AFT model using penalized likelihood approaches. We use three popular penalty functions, least absolute shrinkage and selection operator (LASSO), adaptive LASSO and smoothly clipped absolute deviation (SCAD). With these procedures we can select important variables and estimate the fixed effects at the same time. The performance of the proposed method is evaluated using simulation studies, including the investigation of impact of misspecifying the assumed distribution. The proposed method is illustrated with a primary biliary cirrhosis (PBC) data set.

Determinants of Termination of Anti-dumping Measures: The Case of Korea

  • Rhee, Jin Woo;Jang, Yong Joon
    • East Asian Economic Review
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    • 제26권2호
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    • pp.95-117
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    • 2022
  • This paper empirically examines what factors affected the termination of anti-dumping measures in Korea during the 2006-2019 period. Employing a meticulous literature review, the paper investigates the WTO's and Korea's rules on the termination of anti-dumping measures and sets up the related variables in the Cox proportional hazards model. The empirical results show that the GDP growth rate, employment, and trade competitiveness in domestic industries had positive effects on the hazard of the termination of AD measures, while free trade agreements had negative effects. By industry, the hazard of the termination of AD measures was less prominent in the steel industry, while it was more prominent in the machinery industry. These results imply that AD measures in Korea had the properties of a proper trade remedy policy and, at the same time, a protectionism tool to sustain its domestic industries, depending on industrial characteristics and other trade policies.

미국 위탁아동의 친권상실선고 이후 입양 결정요인에 관한 생존분석 (Timing and Risk Factors of Adoption for Legally-Free Foster Children after Having Parental Rights Terminated in the U. S.)

  • 송민경
    • 한국사회복지학
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    • 제59권1호
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    • pp.301-327
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    • 2007
  • 본 연구의 목적은 미국에서 친권상실이 선고된 위탁아동의 입양률 추이를 살펴보고, 입양결정에 영향을 미치는 주된 요인을 규명하는 데 있다. 본 연구는 미국 위탁보호와 입양에 관한 패널데이터 FY1999-FY2002를 이용하여 1998년 10월부터 2002년 9월까지 32개 주를 추출하여 총 26,895명을 분석에 활용하였다. 사건사 분석의 Kaplan-Meier 분석과 비례적 위험회귀모형(Cox proportional hazards regression model)을 이용하여 친권상실선고 이후 소요되는 위탁기간에 따른 입양률 추이와 위험 입양배율(hazard ratios for adoption)를 산출하였다. 본 연구의 주요 결과로는 친권상실선고 이후 3개월-19개월까지 입양률이 급속히 증가하다가 20개월이 지나면서 오히려 감소추세를 보이고 있었다. 입양여부와 관련한 주요 요인으로서는 백인아동일 경우, 나이가 어릴수록, 선입양가족, 도시소재의 위탁보호일 경우, 양부모 위탁가족, 또는 인종적으로 동일한 위탁부모에 의해 위탁보호 될 경우 입양가능성이 상대적으로 높게 나타났다. 또한, 아동이 지체나 장애가 있을 경우, 신체학대나 성학대를 경험한 경우, 친부모의 양육능력부족으로 위탁보호 된 경우 상대적으로 낮은 입양가능성을 보이고 있다. 본 연구결과 친권상실 이전에 발생한 위탁보호 원인이 친권상실 이후에도 입양에 영향을 미치고 있으며, 입양촉진방안으로 친권상실선고 이후 제공된 위탁서비스 활용과 적극적 지원방안 모색의 필요성이 제기되었다. 끝으로 본 연구결과를 바탕으로 한국사회에서 요보호아동의 친권개입의 정책적 방향과 항구적 보호마련을 위한 함의와 제언을 개괄적으로 제시하였다.

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경시적 영과잉 가산자료와 생존자료의 결합모형 (A joint modeling of longitudinal zero-inflated count data and time to event data)

  • 김동욱;천지훈
    • 응용통계연구
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    • 제29권7호
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    • pp.1459-1473
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    • 2016
  • 시간의 흐름에 따라 관측되는 경시적(longitudinal) 자료의 경우, 경시적 자료와 생존(survival) 자료가 종종 동시에 수집된다. 이 때 경시적 자료에서 발생하는 결측이 생존자료와의 연관성으로 인해 발생한 무시할 수 없는 결측(non-ignorable missing)이라면, 경시적 자료분석 방법만으로는 두 자료 간의 연관성을 고려하지 않아 독립변수에 대한 효과는 편향된 결과를 얻게 된다. 이러한 문제를 해결하기 위해서 결측의 원인이 생존시간과 연관되어 있으므로 생존모형을 고려하여 불편추정량을 얻기 위해 경시적 자료와 생존자료의 결합모형에 대한 연구가 이루어져 왔다. 본 논문은 경시적 자료의 형태가 영이 많이 존재하는 영과잉 가산자료(zero-inflated count data)와 생존자료의 결합모형을 연구하였다. 경시적 영과잉 가산자료와 생존자료는 각각 허들모형(hurdle model)과 비례위험모형(proportional hazards model)의 부 모형을 적용하였고, 두 부 모형들의 변량효과가 다변량 정규분포를 따른다는 가정을 통하여 결합하였다. 모수의 최우추정법으로 EM 알고리즘을 활용하였고, 추정된 표준오차를 계산하기 위해 프로파일 우도(profile likelihood)를 이용하였다. 최종적으로 모의실험을 통해 두 부 모형의 변량효과 간 상관관계가 존재하는 경우 결합모형이 개별적 모형보다 편의와 포함확률(coverage probability)의 측면에서 더 우수함을 보였다.

Cardiovascular Health Metrics and All-cause and Cardiovascular Disease Mortality Among Middle-aged Men in Korea: The Seoul Male Cohort Study

  • Kim, Ji Young;Ko, Young-Jin;Rhee, Chul Woo;Park, Byung-Joo;Kim, Dong-Hyun;Bae, Jong-Myon;Shin, Myung-Hee;Lee, Moo-Song;Li, Zhong Min;Ahn, Yoon-Ok
    • Journal of Preventive Medicine and Public Health
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    • 제46권6호
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    • pp.319-328
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    • 2013
  • Objectives: This study estimated the association of cardiovascular health behaviors with the risk of all-cause and cardiovascular disease (CVD) mortality in middle-aged men in Korea. Methods: In total, 12 538 men aged 40 to 59 years were enrolled in 1993 and followed up through 2011. Cardiovascular health metrics defined the following lifestyle behaviors proposed by the American Heart Association: smoking, physical activity, body mass index, diet habit score, total cholesterol, blood pressure, and fasting blood glucose. The cardiovascular health metrics score was calculated as a single categorical variable, by assigning 1 point to each ideal healthy behavior. A Cox proportional hazards regression model was used to estimate the hazard ratio of cardiovascular health behavior. Population attributable risks (PARs) were calculated from the significant cardiovascular health metrics. Results: There were 1054 total and 171 CVD deaths over 230 690 person-years of follow-up. The prevalence of meeting all 7 cardiovascular health metrics was 0.67%. Current smoking, elevated blood pressure, and high fasting blood glucose were significantly associated with all-cause and CVD mortality. The adjusted PARs for the 3 significant metrics combined were 35.2% (95% confidence interval [CI], 21.7 to 47.4) and 52.8% (95% CI, 22.0 to 74.0) for all-cause and CVD mortality, respectively. The adjusted hazard ratios of the groups with a 6-7 vs. 0-2 cardiovascular health metrics score were 0.42 (95% CI, 0.31 to 0.59) for all-cause mortality and 0.10 (95% CI, 0.03 to 0.29) for CVD mortality. Conclusions: Among cardiovascular health behaviors, not smoking, normal blood pressure, and recommended fasting blood glucose levels were associated with reduced risks of all-cause and CVD mortality. Meeting a greater number of cardiovascular health metrics was associated with a lower risk of all-cause and CVD mortality.

SRC-Stat 통계패키지를 이용한 생존분석 (Survival Analysis using SRC-Stat Statistical Package)

  • 하일도;노맹석;이영조;임요한;이재용;오희석;신동완;이상구;서진욱;박용태;조성준;박종헌;김유경;유경상
    • 응용통계연구
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    • 제28권2호
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    • pp.309-324
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    • 2015
  • 본 논문에서는 SRC-Stat 통계패키지를 이용하여 생존자료를 분석하는 방법을 소개한다. 본 패키지는 단변량 생존 자료 분석을 위한 콕스의 비례위험모형 뿐만아니라, 다변량 생존자료분석을 위한 공통 및 지분 프레일티 모형과 같은 고급 생존분석법을 제공한다. 잘 알려져 있는 실제자료의 사용을 통해 본 패키지의 유용성을 예증한다.