• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.287-295
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• 2019

This study was conducted to analyze firm survival rate and impact factors of survival of Foreign-invested Companies in Korea which is between 2006 and 2017. An empirical analysis of the survival factors of firms used explanatory variables such as characteristics of the and 3 firm dummy and 2 firm factors, financial variables of 3 profitability and 3 stability factors. The Kaplan-Meier method was chosen to perform analyses on the survival rates, Cox Proportional Hazard Model took to conduct on the impact factors. As a result of the impact factors of Foreign-invested Companies survival, Ownership (OS), Labour (NE ) of characteristics of the firm had positive effects. The Gross Sales Profit (GSP), Net Profit (NP ) and Operating Profit (OP ) of the financial characteristics had a positive effect. Additional Asset (LA ) had positive effects and Capital (LC), Debt (LB ) had a negative effect. Other factors did not produce significant results.

• The Journal of the Korean dental association
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• v.53 no.5
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• pp.326-347
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• 2015

목적: 노인 환자에서 식립된 임플란트의 생존율을 조사하고 다양한 요인에 따라 생존율에 미치는 영향을 후향적으로 평가하고자 하였다. 재료 및 방법: 2001년 1월부터 2007년 12월까지 조선대학교 치과병원 치주과에 내원한 65세 이상 노인 환자 56명에게 식립된 138개의 임플란트를 대상으로 하였다.(남자 38명, 여자 18명, 평균 연령$69.38{\pm}3.91$세) 임플란트 생존율은 환자 성별 및 연령, 전신질환 유무, 치아 상실 원인, 식립 위치, 임플란트 직경 및 길이, 골질, 골이식 여부, 상부 보철물 유형에 따라 조사되었다. Kaplan-Meier survival analysis을 통해 각 요인에 따른 누적 생존율을 조사하였고, chi-square test를 통해 누적 생존율과 각각의 요인 간의 통계학적 유의성을 평가하였다. 결과: 보철물 시적 후 5 ~ 140개월 간 추적 관찰을 시행하였다. 65세 이상 노인 환자 56명에게 식립된 총 138개의 임플란트 중 추적 관찰 기간 동안 5개의 임플란트가 실패하였다. 그 중 63개의 임플란트는 환자가 정기적인 내원 약속에 응하지 않아 도중에 조사대상에서 제외되었으며, 결과적으로 5년간 누적 생존율은 94.9%였다. 임플란트 생존율에 영향을 미치는 다양한 요인 중 골질 (P=0.037) 및 상부 보철물 유형 (P=0.015) 간에 누적 생존율이 통계적으로 유의한 차이가 있었다. 그외 연령, 성별, 전신질환 유무, 치아상실 원인, 식립 위치, 임플란트 직경 및 길이, 골이식 유무 관련 요인과 누적 생존율 사이에는 통계적으로 유의한 차이가 없었다. 결론: 여러 한계가 있었지만 노인 환자의 무치악 부위에 있어 임플란트는 장기간에 걸쳐 예지성 있고 받아들여질 만한 치료이면서 적은 합병증과 실패율을 가진다.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.02a
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• pp.137-164
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• 2006

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.111-122
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• 2023

The purpose of this study is to verify the factors affecting survival time by estimating survival rate and survival time using non-financial information of social enterprises using credit guarantee in credit guarantee institutions, and provide information to stakeholders to improve survival rate and employ to contribute to maintaining and expanding the As a research method, survival analysis was performed using a non-parametric analysis method, Kaplan-Meier Analysis. As a sample, 621 companies (577 normal companies, 44 insolvent companies) established between 2009 and 2018 were selected as the target companies. As a result of examining the factors affecting survival time by classifying social enterprise representative information and corporate information, representative credit rating, representative home ownership, credit transaction period, and corporate credit rating were derived as significant variables affecting survival time. In the future, financial institutions will be able to induce corporate soundness by reflecting factors that affect survival when examining loans for social enterprises, contributing to job retention and reduction of social costs. Supporting organizations such as the government and private organizations will be able to use it in various ways, such as policy establishment and education and training for the growth and sustainability of social enterprises. With this study as an opportunity, I hope that research will continue with more interest in the factors influencing social enterprise performance as well as corporate insolvency.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.6
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• pp.67-78
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• 2015

The objective of this paper is to analyze survival rate and factors of FDI(Foreign direct investment) using FDI data of Ministry of Knowledge and Economy. Kaplan-Meier estimation was used. The result was as follows. M&A of FDI was much more risk than Greenfield FDI. .FDI to the IT-service industry was much more risk than FDI to the manufacturing industry. Partnership under 50% was much more risk than partnership over 50%. The accumulated survival rate of M&A was higher then Greenfield until fourth period but was lower than Greenfield after fourth period. The accumulated survival rate of M&A was lower than others from the first period to last period. There was no difference between Partnership under 50% and partnership over 50% to 4th period. After 4th period, Accumulated survival rate of partnership under 50% was higher than accumulated survival partnership over 50%.

• Journal of Korean Biological Nursing Science
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• v.10 no.2
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• pp.170-175
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• 2008

Purpose: The purpose of this study was to predict treatment outcome of chemotherapy compared with and bone marrow transplantation in acute leukemia patients. Methods: We respectively reviewed the characteristics of subjects, cytokine, complete remission time and survival time of 111 patients with acute leukemia, admitted in St. Mary's hospital, between July 2007 and August 2008. Results: The complete remission rate with chemotherapy group was 70.8% and bone marrow transplantation group was 54.3% but without statistically significance. The prognostic factors related with survival is classification of acute leukemia and complete remission time. Conclusion: This study suggests a need for nursing research and nursing intervention for acute leukemia patients.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.113-119
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• 2017

This study aims at investigating which factors affect the public perceptions of the survival rate of cancer. To this end, this study compares the public perception for 5-year survival rates of five major cancer(stomach, colorectal, liver, breast, uterine cervix) and actual epidemiological fact thereof. Data was collected from 19th to 24th April 2016 through online cross-sectional survey on 354 people. Frequency analysis was conducted to understand the characteristics of the subjects, histograms were presented for the comparison with the epidemiological fact, and multiple regression analysis was conducted. The subjects tended to aware the survival rates of stomach cancer, colorectal cancer, breast cancer, and uterine cervix cancer as lower than they epidemiologically represented. Finally, the factors that substantially affect the perception of 5-year survival rates were revealed as the experience of diagnosed as cancer, the age, and whether the subject regularly involved in a workout.

• Journal of Animal Science and Technology
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• v.44 no.3
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• pp.271-278
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• 2002

This experiment was conducted to investigate the genetic and non-genetic factors affecting kid survivability in goats from birth to 90 days of age. The purebreds had lower survivability than the crossbreds, with significant (p$<$0.05) difference amongst themselves for the age of 31 to 90 days. The locational effect on survivability was insignificant for all the periods except 16 to 60 days (p$<$0.05) of age. The sex and birth type also had significant (p$<$0.05) effect on survivability for all the periods except 0 to 7 days of age. The survivability was found to be significantly (p$<$0.05) higher for kids born in summer season followed by those born in winter and rainy season. Milk produced by the does were significantly (p$<$0.05) affected on the survivability of kids during the period from 16 to 60 days of age. The survivability of kids were highest and lowest having milk yield of doe found to be 400-600 g/day and 80-200 g/day, respectively. Birth weight had significant (p$<$0.05) effect on survivability for all the stages of growth up to 90 days of age. Survivability was positively correlated with does’ milk yield as well as kids birth weight. Interactions of sex with location or birth type were significant (p$<$0.01 and p$<$0.05, respectively) though interaction between sex and genetic group was insignificant.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.760-766
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• 2014

This study was performed to determine the effect factors in the survival of cardiac arrest patients. This study involved 4,092 cardiac arrest patients of K province, who were transported by 119 during 2010. The data collection involved using 119 rescue daily reports, cardiopulmonary arrest patients emergency treatment detail reports and 119 paramedics survival data. In conclusion, 119 rescue's interventions in the patients with pre-hospital cardiac arrest have significantly increased survival rates. 119 rescue's interventions included early defibrillation, oxygen supply, airway open, and intravenous access affected significantly survival rate. Therefore there is need to increase 119 rescue's interventions performance to improve survival rate of cardiac arrest patients.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.255-266
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• 2021

The purpose of this study is to compare the effects of treatment on stage III stomach cancer data obtained from the SEER program of the National Cancer Institute and to identify the significant risk factors for the survival rates of stage III stomach cancer. Since the proportional hazards assumption was violated for treatment, we used the restricted mean survival time as an alternative to the proportional hazards model. The restricted mean survival time was estimated using pseudo-observations, and the effects of treatment were compared using a test statistic based on the estimated restricted mean survival times. We conducted the regression analysis using a generalized linear model to investigate the significant predictors for the restricted mean survival time of patients with stage III stomach cancer. We found that there was a significant difference between the restricted mean survival times of treatment groups. Age at diagnosis, race, substage, grade, tumor size, surgery, and treatment were significant predictors for the restricted mean survival time of patients with stage III stomach cancer. Surgery was the most significant predictor for increasing the restricted mean survival time of patients with stage III stomach cancer.