• Title/Summary/Keyword: competing risks

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Joint model of longitudinal data with informative observation time and competing risk (결시적 자료에서 관측 중단을 모형화하기 위해 사용되는 경쟁 위험의 적용과 결합 모형)

  • Kim, Yang-Jin
    • The Korean Journal of Applied Statistics
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    • v.29 no.1
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    • pp.113-122
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    • 2016
  • Longitudinal data often occur in prospective follow-up studies. Joint model for longitudinal data and failure time has been applied on several works. In this paper, we extend it to the case where longitudinal data involve informative observation time process as well as competing risks survival times. We use a likelihood approach and derive an EM algorithm to obtain maximum likelihood estimate of parameters. A suggested joint model allows us to make inferences for three components: longitudinal outcome, observation time process and competing risk failure time. In addition, we can test the association among these components. In this paper, liver cirrhosis patients' data is analyzed. The relationship between prothrombin times measured at irregular visiting times and drop outs is investigated with a joint model.

Semiparametric Inference for a Multistate Stochastic Survival Model

  • Sung Chil Yeo
    • Communications for Statistical Applications and Methods
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    • v.5 no.1
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    • pp.239-263
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    • 1998
  • In this paper, we consider a multistate survival model which incorporates covariates and contains two illness states and two death states. The underlying stochastic process is assumed to follow nonhomogeneous Markov process. The estimates of survival, transition and competing risks probabilities are given via the methods of partial likelihood and nonparametric maximum likelihood. Our discussion is based on the statistical theory of counting process. An illustration is given to the data of patients in a heart transplant program. The goodness of fit procedures are also discussed to check the adequacy of the model.

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An Analysis on the Employment Duration of the Workers Injured in Industrial Accidents (요양종결 이후 산재근로자의 취업기간 분석)

  • Yee, Seung-Yeol
    • Journal of Labour Economics
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    • v.27 no.3
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    • pp.25-52
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    • 2004
  • The work history of the workers injured in industrial accidents was recomposed by combining the database on compensation for industrial accidents with the database on employment insurance among those who were newly classified as disabled during the period from 1998 to 2000. It shows that the injured workers mainly returned to the original workplaces, and such workers had higher job retention rate. It is in contrast with the higher separation rate of the workers who started to work at the new workplace after medical recuperation. And it is found that 61% left or lost their jobs out of the injured workers who returned to work, and 77% of the job separators had job tenure less than one year. The analysis based on competing risks model shows that the workers at the smaller workplace have the shorter the employment duration, and the longer job-searching period has the negative effect on the employment duration of the job losers. In addition, the longer employment duration at the first job after medical recuperation is more effective on the reemployment and job stability after separation.

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Modeling Survival in Patients With Brain Stroke in the Presence of Competing Risks

  • Norouzi, Solmaz;Jafarabadi, Mohammad Asghari;Shamshirgaran, Seyed Morteza;Farzipoor, Farshid;Fallah, Ramazan
    • Journal of Preventive Medicine and Public Health
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    • v.54 no.1
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    • pp.55-62
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    • 2021
  • Objectives: After heart disease, brain stroke (BS) is the second most common cause of death worldwide, underscoring the importance of understanding preventable and treatable risk factors for the outcomes of BS. This study aimed to model the survival of patients with BS in the presence of competing risks. Methods: This longitudinal study was conducted on 332 patients with a definitive diagnosis of BS. Demographic characteristics and risk factors were collected by a validated checklist. Patients' mortality status was investigated by telephone follow-up to identify deaths that may be have been caused by stroke or other factors (heart disease, diabetes, high cholesterol, etc.). Data were analyzed by the Lunn-McNeil approach at alpha=0.1. Results: Older age at diagnosis (59-68 years: adjusted hazard ratio [aHR], 2.19; 90% confidence interval [CI], 1.38 to 3.48; 69-75 years: aHR, 5.04; 90% CI, 3.25 to 7.80; ≥76 years: aHR, 5.30; 90% CI, 3.40 to 8.44), having heart disease (aHR, 1.65; 90% CI, 1.23 to 2.23), oral contraceptive pill use (women only) (aHR, 0.44; 90% CI, 0.24 to 0.78) and ischemic stroke (aHR, 0.52; 90% CI, 0.36 to 0.74) were directly related to death from BS. Older age at diagnosis (59-68 years: aHR, 21.42; 90% CI, 3.52 to 130.39; 75-69 years: aHR, 16.48; 90% CI, 2.75 to 98.69; ≥76 years: aHR, 26.03; 90% CI, 4.06 to 166.93) and rural residence (aHR, 2.30; 90% CI, 1.15 to 4.60) were directly related to death from other causes. Significant risk factors were found for both causes of death. Conclusions: BS-specific and non-BS-specific mortality had different risk factors. These findings could be utilized to prescribe optimal and specific treatment.

Analysis of generalized progressive hybrid censored competing risks data

  • Lee, Kyeong-Jun;Lee, Jae-Ik;Park, Chan-Keun
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.2
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    • pp.131-137
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    • 2016
  • In reliability analysis, it is quite common for the failure of any individual or item to be attributable to more than one cause. Moreover, observed data are often censored. Recently, progressive hybrid censoring schemes have become quite popular in life-testing problems and reliability analysis. However, a limitation of the progressive hybrid censoring scheme is that it cannot be applied when few failures occur before time T. Therefore, generalized progressive hybrid censoring schemes have been introduced. In this article, we derive the likelihood inference of the unknown parameters under the assumptions that the lifetime distributions of different causes are independent and exponentially distributed. We obtain the maximum likelihood estimators of the unknown parameters in exact forms. Asymptotic confidence intervals are also proposed. Bayes estimates and credible intervals of the unknown parameters are obtained under the assumption of gamma priors on the unknown parameters. Different methods are compared using Monte Carlo simulations. One real data set is analyzed for illustrative purposes.

Fitting competing risks models using medical big data from tuberculosis patients (전국 결핵 신환자 의료빅데이터를 이용한 경쟁위험모형 적합)

  • Kim, Gyeong Dae;Noh, Maeng Seok;Kim, Chang Hoon;Ha, Il Do
    • The Korean Journal of Applied Statistics
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    • v.31 no.4
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    • pp.529-538
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    • 2018
  • Tuberculosis causes high morbidity and mortality. However, Korea still has the highest tuberculosis (TB) incidence and mortality among OECD countries despite decreasing incidence and mortality due to the development of modern medicine. Korea has now implemented various policy projects to prevent and control tuberculosis. This study analyzes the effects of public-private mix (PPM) tuberculosis control program on treatment outcomes and identifies the factors that affecting the success of TB treatment. We analyzed 130,000 new tuberculosis patient cohort from 2012 to 2015 using data of tuberculosis patient reports managed by the Disease Control Headquarters. A cumulative incidence function (CIF) compared the cumulative treatment success rates for each factor. We compared the results of the analysis using two popular types of competition risk models (cause-specific Cox's proportional hazards model and subdistribution hazard model) that account for the main event of interest (treatment success) and competing events (death).

Application of the Weibull-Poisson long-term survival model

  • Vigas, Valdemiro Piedade;Mazucheli, Josmar;Louzada, Francisco
    • Communications for Statistical Applications and Methods
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    • v.24 no.4
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    • pp.325-337
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    • 2017
  • In this paper, we proposed a new long-term lifetime distribution with four parameters inserted in a risk competitive scenario with decreasing, increasing and unimodal hazard rate functions, namely the Weibull-Poisson long-term distribution. This new distribution arises from a scenario of competitive latent risk, in which the lifetime associated to the particular risk is not observable, and where only the minimum lifetime value among all risks is noticed in a long-term context. However, it can also be used in any other situation as long as it fits the data well. The Weibull-Poisson long-term distribution is presented as a particular case for the new exponential-Poisson long-term distribution and Weibull long-term distribution. The properties of the proposed distribution were discussed, including its probability density, survival and hazard functions and explicit algebraic formulas for its order statistics. Assuming censored data, we considered the maximum likelihood approach for parameter estimation. For different parameter settings, sample sizes, and censoring percentages various simulation studies were performed to study the mean square error of the maximum likelihood estimative, and compare the performance of the model proposed with the particular cases. The selection criteria Akaike information criterion, Bayesian information criterion, and likelihood ratio test were used for the model selection. The relevance of the approach was illustrated on two real datasets of where the new model was compared with its particular cases observing its potential and competitiveness.

The Production of Riskscapes in the Korean Developmental State: A Perspective from East Asia (동아시아 맥락에서 바라본 한국에서의 위험경관의 생산)

  • Hwang, Jin-Tae
    • Journal of the Korean Geographical Society
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    • v.51 no.2
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    • pp.283-303
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    • 2016
  • The concept of a risk society, which was originally suggested by German sociologist Ulrich Beck, is insufficient to reveal how a certain risk materially and discursively unfolds on the ground and how its various dynamics are recognised by diverse actors because of the concept's spatial insensitivity. As an alternative approach, this paper introduces the concept of the riskscape, which was suggested by German geographer Detlef $M{\ddot{u}}ller$-Mahn, and analyses this concept in the context of the East Asian developmental state. It is meaningful that the East Asian developmental state thesis has strongly promoted the role of the state in stimulating national economic development in underdeveloped countries. However, it should also be noted that an active state role in encouraging modernisation and economic growth within a very short time produces consequences of what Beck calls 'manufactured risks', such as nuclear power plants. Therefore, it is essential to analyse the state in comprehending modernisation and the risk society in East Asia. More specifically, using the case of the location policy for nuclear power facilities, this article reveals how dominant social forces acting in and through the state constructed a national riskscape that minimises the gravity of local risks while prioritising the economic value of the national economy over local risks to produce rapid modernisation. Additionally, it is argued that a dominant national riskscape may become weak from competing with different riskscapes that are constructed based on contingency factors (e.g., political democratisation or a natural disaster). Based on these analyses, the article emphasises that interdisciplinary research using the concept of the riskscape is required to better explain the risks in East Asia.

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Risk of Death and Occurrence of Secondary Disease of Cancer and Cardiovascular Disease Patient by Income Level in Korea (암, 심뇌혈관 질환자의 소득수준에 따른 사망 및 이차 질환 발생 위험)

  • Kang, Minjin;Son, Kangju
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.145-157
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    • 2018
  • In this study, we analyzed the effect of the income level of cancer, stroke, and myocardial infarction on mortality by using National Health Insurance Service(NHIS) Cohort 2.0 DB. Patients who newly developed the disease in 2007 were observed till 2015. The analysis used the Cox probability proportional risk model and the competing risk model. The income level used information at the time of the onset of the disease in 2007, categorized into low / mid / high. The results showed that there were differences in the risks of death and secondary disease in patients with cancer, stroke, or myocardial infarction according to the income level. In addition to the need for a social safety net to lower the incidence of early deaths in low-income families, it seems necessary to continue to strengthen universal protection for serious diseases similar to the current policy.

Consideration of Domestic Category Killers for Distribution Environment

  • Kim, Moon-Sook;Kim, Hyeon-Ju
    • The International Journal of Costume Culture
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    • v.2 no.1
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    • pp.31-42
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    • 1999
  • The category killer that has been rapidly growing mainly in advanced countries since early 1990's, is a mew distribution model which aims for obtaining market controlling power by surpassing competing businesses in a specific area of products. The domestic situation of category killers is very different from that of advanced ones abroad since it has just been introduced into the Korean market. At the moment, there are only 10 or so companies operating in the market : Geopyung's , Taeheng's , Midopa's , of Sinsegye Department store, adn of Yerim International. The purpose of this study is to examine problems of domestic companies in the present market by analysing the operation status of category killers in domestic markets as well as foreign ones, and to suggest a counter-strategy of category killers for the distribution environment of the 21st century to improve the competitiveness of Korean distribution industry. The competitiveness of category killers lies above all in products lines. Category killers are equipped with the greatest number of products lines among those of competing businesses due to maximized product selections in an limited range. Another source of competitiveness may be found in balanced strategy positioning. That is to say, category killers are in a position where they can adjust policies towards any of the three purposes while aiming at them altogether : prices of discount stores, products range of specialty stores, and customer service level of department stores. It is also necessary for efficient store operation to use information technology such as electronic data interchange (EDI), electronic pose system(EPOS) and electronic funds transfer (EFTPOS). As for the cost structure, category killers can gain an advantage over other business since operating cost of various sections can be saved. There are, however, certain risks that category killers with strong competitiveness may influence on other businesses a great deal and even facilitate their decline. Yet it seems that the growth of category killers will be more viciously restrained by continuous challenges from other businesses. The distribution industry is supposed to develop through such competition and restraint.

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