• Journal of Hospice and Palliative Care
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• v.5 no.2
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• pp.111-124
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• 2002

Purpose : Although the average life expectancy has increased due to advances in medicine, mortality due to cancer is on an increasing trend. Consequently, the number of terminally ill cancer patients is also on the rise. Predicting the survival period is an important issue in the treatment of terminally ill cancer patients since the choice of treatment would vary significantly by the patents, their families, and physicians according to the expected survival. Therefore, we investigated the prognostic factors for increased mortality risk in terminally ill cancer patients to help treat these patients by predicting the survival period. Methods : We investigated 31 clinical parameters in 157 terminally ill cancer patients admitted to in the Department of Family Medicine, National Health Insurance Corporation Ilsan Hospital between July 1, 2000 and August 31, 2001. We confirmed the patients' survival as of October 31, 2001 based on medical records and personal data. The survival rates and median survival times were estimated by the Kaplan-Meier method and Log-rank test was used to compare the differences between the survival rates according to each clinical parameter. Cox's proportional hazard model was used to determine the most predictive subset from the prognostic factors among many clinical parameters which affect the risk of death. We predicted the mean, median, the first quartile value and third quartile value of the expected lifetimes by Weibull proportional hazard regression model. Results : Out of 157 patients, 79 were male (50.3%). The mean age was $65.1{\pm}13.0$ years in males and was $64.3{\pm}13.7$ years in females. The most prevalent cancer was gastric cancer (36 patients, 22.9%), followed by lung cancer (27, 17.2%), and cervical cancer (20, 12.7%). The survival time decreased with to the following factors; mental change, anorexia, hypotension, poor performance status, leukocytosis, neutrophilia, elevated serum creatinine level, hypoalbuminemia, hyperbilirubinemia, elevated SGPT, prolonged prothrombin time (PT), prolonged activated partial thromboplastin time (aPTT), hyponatremia, and hyperkalemia. Among these factors, poor performance status, neutrophilia, prolonged PT and aPTT were significant prognostic factors of death risk in these patients according to the results of Cox's proportional hazard model. We predicted that the median life expectancy was 3.0 days when all of the above 4 factors were present, $5.7{\sim}8.2$ days when 3 of these 4 factors were present, $11.4{\sim}20.0$ days when 2 of the 4 were present, and $27.9{\sim}40.0$ when 1 of the 4 was present, and 77 days when none of these 4 factors were present. Conclusions : In terminally ill cancer patients, we found that the prognostic factors related to reduced survival time were poor performance status, neutrophilia, prolonged PT and prolonged am. The four prognostic factors enabled the prediction of life expectancy in terminally ill cancer patients.

• East Asian Economic Review
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• v.26 no.2
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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.

• Korean Journal of Social Welfare
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• v.59 no.1
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• pp.301-327
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• 2007

The purpose of this study is to examine the timing and the risk factors associated with the adoption of legally-free foster children. The sample of the study was drawn from foster care files of Adoption and Foster Care Analysis and Reporting System(AFCARS) in 32 states between October 1998 (FY 1999) and September 2002(FY 2002). The timing post-TPR to adoption was examined by plotting the Kaplan-Meier cumulative hazard function for adoption and by plotting the KM hazard functions stratified by child's race and child's age at TPR. Cox proportional-hazards regression analysis was used to identify risk factors for adoption of legally-free foster children after TPR. The hazard of adoption was very low immediately after TPR but increased steadily starting at 3 months and then declined after 20 months. The cumulative hazard functions for White non-Hispanic children and Black non-Hispanic children crossed over at 13 months after TPR. Racial minority status, older age, and disability were negatively associated with the hazard of adoption. Physical abuse, sexual abuse had the lower hazard for adoption compared by neglect. Caretaker's inability to cope had the slightly lower hazard for adoption whereas inadequate housing showed the slightly greater hazard for adoption. Characteristics of foster care services turned into be powerful predictors of adoption. Specifically, legally-free children placed in pre-adoptive homes, those who shared the same racial/ethnic background with their foster caretakers, and those who were placed in two-parent families have a greater likelihood of adoption. The findings highlight the importance of foster care service provisions after TPR to facilitate adoption of legally-free foster children. Furthermore, a more substantial resources and targeted support for foster children who experience physical abuse and sexual abuse in need of adoption should be provided for moving the foster children into permanency.

• Journal of Preventive Medicine and Public Health
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• v.48 no.4
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• pp.216-224
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• 2015

Objectives: Decreased fertility and impaired health owing to early menopause are significant health issues. Smoking is a modifiable health-related behavior that influences menopausal age. We investigated the effects of smoking-associated characteristics on menopausal age in Korean women. Methods: This study used data from the Korea National Health and Nutrition Examination Survey from 2007 to 2012. Menopausal age in relation to smoking was analyzed as a Kaplan-Meier survival curve for 11 510 women (aged 30 to 65 years). The risk of entering menopause and experiencing early menopause (before age 48) related to smoking were assessed using a Cox proportional hazards model. Results: The menopausal age among smokers was 0.75 years lower than that among non-smokers (p<0.001). The results of the Cox proportional hazards model showed pre-correction and post-correction risk ratios for entering menopause related to smoking of 1.26 (95% confidence interval [CI], 1.09 to 1.46) and 1.27 (95% CI, 1.10 to 1.47), respectively, and pre-correction and post-correction risk ratios for experiencing early menopause related to smoking of 1.36 (95% CI, 1.03 to 1.80) and 1.40 (95% CI, 1.05 to 1.85), respectively. Conclusions: Smokers reached menopause earlier than non-smokers, and their risk for experiencing early menopause was higher.

• Korean small business review
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• v.43 no.3
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• pp.1-20
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• 2021

The survival period according to technological capability was analyzed for about 22,500 innovative SMEs in the service industry. The survival period was defined as the occurrence of overdue and default, and the technological capability was divided into two clusters. As a result of estimating the survival period according to technological capability through Kaplan-Meier analysis, it was confirmed that the estimated survival period of T1-T4 grade service innovative SMEs was significantly greater in both overdue and default. As a result of the analysis of the Cox proportional hazard model applying the control variable, it was confirmed that the higher technological capability, the lower the risk in the group of start-up companies. However, in the group of non-start-up companies the technological capability did not significantly affect the survival period, and the influence of the variables related to the size of the company was found to increase. Therefore, the technological capability is meaningful as additional information that has a significant effect on the survival period of innovative SMEs in the start-up companies group of service industry. In addition, it was concluded that it is necessary to reflect the technological capability when establishing the SME support and promotion policy of the start-up companies group in the service industry.

• Korean Journal of School Psychology
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• v.18 no.1
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• pp.31-48
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• 2021

The purpose of this study was to determine whether the retention of university freshmen could be predicted using their peer relationships in a specific department. In this study, retention was defined as a student staying enrolled in their university for a certain period of time. Social relationships are formed through interaction between people, so both students' self-perceptions and others' perceptions of them must be accounted for, so we used a social network analysis that did so. We examined social networks visualizations that allowed for a rich interpretation of numerical information. Participants in this study were freshmen who enrolled in an undergraduate program in 2017, 2018, or 2019. We used the name generator method to determine how quantitative friendship network variables predicted the academic retention up to the first semester of 2020. Cox proportional hazard model analysis showed that the weighted indegree centrality with intimacy positively predicted retention. The results of this study can be used to identify and conduct interventions for students who may be likely to disenroll. However all of the students did not participate in the department, it was difficult to examine their entire peer networks. Thus, this study's results cannot be generalized because the participants are students of a specific major, so further research is needed to produce more generalizable results.

• 재활복지
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• v.17 no.4
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• pp.127-149
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• 2013

This study analyzed the hazard of unemployment and the influencing factors on the rate. Data came from the Panel Survey of Employment for the Disabled(PSED), 2010-2012, which is a longitudinal survey for 5,092 disabled people in Korea. For the main purpose of this study, the life-table method was used for describing the patterns of unemployment duration by disabled, and the cox proportional hazard model was used to identify significant factors on the unemployment duration. The results were as follows. First, according to the life table analysis, the unemployment rate to remain until the longest period of unemployment(25month) is 90.5%, and the rate of entry into the labor market was only 9.5%. Overall, the unemployment maintenance rate was high, the unemployment escape rate decreased after 12month. Second, looking at the results from the cox proportional hazards model, the unemployment escape possibility were increased for those who are male, are non-public benefit recipient with disability, have mild disability, and have less discrimination experiences. With these results, disability discrimination act which can reduce the disability discrimination in employment site should be strengthened. Also, the scheme of Nation Basic Protection Program should be modified to attract the employment of recipients with disability. Finally, policy targets having employment escape difficulty, such as women with disability, people with severe disabilities should be departmentalized. And employment service is provided in accord with the individual needs and characteristics.

• East Asian Economic Review
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• v.21 no.1
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• pp.3-27
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• 2017

This paper studied the effects of anti-dumping measures on the imports to investigate whether the trade restriction effect of an anti-dumping duty is dominant. Our results indicate that a 1% increase in the anti-dumping duties decreases the import of the targeted product by about 0.43~0.51%. The actual statistics, however, show that the total import of the targeted products increased by about 30 percent while an anti-dumping duty was in force. That indicates that an anti-dumping duty is just a temporary import relief. This paper also investigated whether an anti-dumping duty is terminated in the case that the injury would not be likely to continue or recur if the duty were removed. The hazards model estimates show that increase in market share, MFN tariff rate, and dumping margin decrease the hazard of termination of an anti-dumping duty, but the increase in value added increases the hazard of termination. Generally speaking, this result indicates that the WTO member countries have regulated the overuse of an anti-dumping measure. The findings of this paper show that there is a country- and industry-wise heterogeneous characteristic in the effect as well as termination of an anti-dumping duty.

• Communications for Statistical Applications and Methods
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• v.20 no.6
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• pp.455-466
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• 2013

In nested case-control studies, the most common way to make inference under a proportional hazards model is the conditional logistic approach of Thomas (1977). Inclusion probability methods are more efficient than the conditional logistic approach of Thomas; however, the epidemiology research community has not accepted the methods as a replacement of the Thomas' method. This paper promotes the inverse probability weighting method originally proposed by Samuelsen (1997) in combination with an approximate jackknife standard error that can be easily computed using existing software. Simulation studies demonstrate that this approach yields valid type 1 errors and greater powers than the conditional logistic approach in nested case-control designs across various sample sizes and magnitudes of the hazard ratios. A generalization of the method is also made to incorporate additional matching and the stratified Cox model. The proposed method is illustrated with data from a cohort of children with Wilm's tumor to study the association between histological signatures and relapses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.649-656
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• 2016

This study was a retrospective examination to identify the association of postoperative delirium of the prognosis on following femur fracture surgery in elderly patients. Data was collected from the medical records of elderly patients (aged 65 years or older), who underwent femur fracture surgery from July 2010 to January 2014, following on 3-years in one university hospital. A total of 68 patients were involved. There were 31 cases (45.6%) with delirium and 37 cases (54.4%) without delirium. The participant's average age was 80.8 (patients with delirium), and 81.8 (delirium without patients) years of age, respectively, and most of them were female. There was no significant difference between the two groups. Taking five or more medications, serum creatinine level, and the total medical costs were significantly different in the delirium group and non-delirium group. In addition, the proportional hazard model of Cox to determine the predictors for the major clinical outcome occurring after surgery revealed delirium, five or more multi-drug use, and an experience of transfusion to be significant predictors. In conclusion, postoperative delirium in the elderly undergoing femur fracture surgery can have a negative clinical outcome in patients and caregivers. Therefore, a preoperative evaluation and management of the risk factors will be necessary.