• Title/Summary/Keyword: Cox proportional Hazard model

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Survival analysis on the business types of small business using Cox's proportional hazard regression model (콕스 비례위험 모형을 이용한 중소기업의 업종별 생존율 및 생존요인 분석)

  • Park, Jin-Kyung;Oh, Kwang-Ho;Kim, Min-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.2
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    • pp.257-269
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    • 2012
  • Global crisis expedites the change in the environment of industry and puts small size enterprises in danger of mass bankruptcy. Because of this, domestic small size enterprises is an urgent need of restructuring. Based on the small business data registered in the Credit Guarantee Fund, we estimated the survival probability in the context of the survival analysis. We also analyzed the survival time which are distinguished depending on the types of business in the small business. Financial variables were also conducted using COX regression analysis of small businesses by types of business. In terms of types of business wholesale and retail trade industry and services were relatively high in the survival probability than light, heavy, and the construction industries. Especially the construction industry showed the lowest survival probability. In addition, we found that construction industry, the bigger BIS (bank of international settlements capital ratio) and current ratio are, the smaller default-rate is. But the bigger borrowing bond is, the bigger default-rate is. In the light industry, the bigger BIS and ROA (return on assets) are, the smaller a default-rate is. In the wholesale and retail trade industry, the bigger bis and current ratio are, the smaller a default-rate is. In the heavy industry, the bigger BIS, ROA, current ratio are, the smaller default-rate is. Finally, in the services industry, the bigger current ratio is, the smaller a default-rate is.

Clinical Outcomes and Prognostic Factors Associated with the Response to Erlotinib in Non-Small-Cell Lung Cancer Patients with Unknown EGFR Mutational Status

  • Aydiner, Adnan;Yildiz, Ibrahim;Seyidova, Avesta
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.5
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    • pp.3255-3261
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    • 2013
  • Background: The efficacy of erlotinib is controversial in patients with unknown EGFR mutational status. The aim of this study was to identify the clinicopathological factors that are predictive of erlotinob treatment outcomes for NSCLC patients with unknown EGFR mutational status. Materials and Methods: A retrospective analysis of 109 patients with advanced NSCLC who had previously failed at least one line of chemotherapy and received subsequent treatment with erlotinib (150 mg/day orally) was performed. A Cox proportional hazard model for univariate and multivariate analyses was used to identify the baseline clinical parameters correlating with treatment outcome, expressed in terms of hazard ratios (HRs) and 95% confidence intervals. Results: The median treatment duration was 15 weeks (range, 4-184). The disease control rate was 55%, including disease stability for ${\geq}3$ months for 40% of the patients. Median progression-free survival and median overall survival (OS) were 4.2 and 8.5 months, respectively. The Cox model indicated that an Eastern Cooperative Oncology Group performance status (ECOG PS) ${\geq}2$ (HR 3.82; p<0.001), presence of intra-abdominal metastasis (HR 3.42; p=0.002), 2 or more prior chemotherapy regimens (HR 2.29; p=0.021), and weight loss >5% (HR 2.05; p=0.034) were independent adverse prognostic factors for OS in NSCLC patients treated with erlotinib. Conclusions: This study suggests that NSCLC patients should be enrolled in erlotinib treatment after a first round of unsuccessful chemotherapy to improve treatment success, during which they should be monitored for intra-abdominal metastasis and weight loss.

Vascular Invasion as an Independent Prognostic Factor in Lymph Node Negative Invasive Breast Cancer

  • Rezaianzadeh, Abbas;Talei, Abdolrasoul;Rajaeefard, Abdereza;Hasanzadeh, Jafar;Tabatabai, Hamidreza;Tahmasebi, Sedigheh;Mousavizadeh, Ali
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.11
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    • pp.5767-5772
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    • 2012
  • Introduction: Identification of simple and measurable prognostic factors is an important issue in treatment evaluation of breast cancer. The present study was conducted to evaluate the prognostic role of vascular invasion in lymph node negative breast cancer patients. Methods: in a retrospective design, we analyzed the recorded profiles of the 1,640 patients treated in the breast cancer department of Motahari clinic affiliated to Shiraz University of Medical Sciences, Shiraz, Iran, from January 1999 to December 2012. Overall and adjusted survivals were evaluated by the Cox proportional hazard model. All the hypotheses were considered two-sided and a p-value of 0.05 or less was considered as statistically significant. Results: Mean age in lymph node negative and positive patients was 50.0 and 49.8 respectively. In lymph node negative patients, the number of nodes, tumor size, lymphatic invasion, vascular invasion, progesterone receptor, and nuclear grade were significant predictors. In lymph node and lymphatic negative patients, vascular invasion also played a significant prognostic role in the survival which was not evident in lymph node negative patients with lymphatic invasion. Discussion: The results of our large cohort study, with long term follow up and using multivariate Cox proportional model and comparative design showed a significant prognostic role of vascular invasion in early breast cancer patients. Vascular invasion as an independent prognostic factor in lymph node negative invasive breast cancer.

Risk of Cancer Mortality according to the Metabolic Health Status and Degree of Obesity

  • Oh, Chang-Mo;Jun, Jae Kwan;Suh, Mina
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.22
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    • pp.10027-10031
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    • 2014
  • Background: We investigated the risk of cancer mortality according to obesity status and metabolic health status using sampled cohort data from the National Health Insurance system. Materials and Methods: Data on body mass index and fasting blood glucose in the sampled cohort database (n=363,881) were used to estimate risk of cancer mortality. Data were analyzed using a Cox proportional hazard model (Model 1 was adjusted for age, sex, systolic blood pressure, diastolic blood pressure, total cholesterol level and urinary protein; Model 2 was adjusted for Model 1 plus smoking status, alcohol intake and physical activity). Results: According to the obesity status, the mean hazard ratios were 0.82 [95% confidence interval (CI), 0.75-0.89] and 0.79 (95% CI, 0.72-0.85) for the overweight and obese groups, respectively, compared with the normal weight group. According to the metabolic health status, the mean hazard ratio was 1.26 (95% CI, 1.14-1.40) for the metabolically unhealthy group compared with the metabolically healthy group. The interaction between obesity status and metabolic health status on the risk of cancer mortality was not statistically significant (p=0.31). Conclusions: We found that the risk of cancer mortality decreased according to the obesity status and increased according to the metabolic health status. Given the rise in the rate of metabolic dysfunction, the mortality from cancer is also likely to rise. Treatment strategies targeting metabolic dysfunction may lead to reductions in the risk of death from cancer.

Panel attrition factors in Korean Labor and Income Panel Study (한국노동패널 탈락 분석)

  • Lee, Sang-Hyeop;Park, Chan-Yong;Hye-Mi, Sung-Suk Chung;Choi, Hye-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.1
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    • pp.1-8
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    • 2011
  • In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

Analysis of Determinants of Hospital Closures: Focusing on Cox Proportional Hazard Model (병원은 왜 폐업하는가?: Cox 비례위험모형을 중심으로)

  • Ok, Hyun Min;Kim, Sung Hyun;Ji, Seok Min
    • Health Policy and Management
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    • v.32 no.3
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    • pp.317-322
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    • 2022
  • Background: Limited access to medical services causes problems in patients' health and life. Also, hospital closures cause concentration towards general hospitals, which leads to worsening National Health Insurance finance. Therefore, hospital closure is an important topic to be analyzed. Methods: This paper analyzed the factors that affect hospital closures using survival analysis with the data of 970 hospitals opened between 2010 and 2019 in Korea. The number of medical personnel, hospital rooms, sickbeds, and medical departments were used as explanatory variables. Results: The number of medical personnel and hospital rooms increased the survival probability while the number of sickbeds and medical departments decrease the survival probability. Conclusion: The results suggest that hospitals have economies of scale and diseconomies of scope in management.

A Database of Gene Expression Profiles of Korean Cancer Genome

  • Kim, Seon-Kyu;Chu, In-Sun
    • Genomics & Informatics
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    • v.13 no.3
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    • pp.86-89
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    • 2015
  • Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean.

The Relationship between the Cognitive Impairment and Mortality in the Rural Elderly (농촌지역 노인들의 인지기능 장애와 사망과의 관련성)

  • Sun, Byeong-Hwan;Park, Kyeong-Soo;Na, Baeg-Ju;Park, Yo-Seop;Nam, Hae-Sung;Shin, Jun-Ho;Sohn, Seok-Joon;Rhee, Jung-Ae
    • Journal of Preventive Medicine and Public Health
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    • v.30 no.3 s.58
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    • pp.630-642
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    • 1997
  • The purpose of this study was to examine the mortality risk associated with cognitive impairment among the rural elderly. The subjective of study was 558 of 'A Study on the Depression and Cognitive Impairment in the Rural Elderly' of Jung Ae Rhee and Hyang Gyun Jung's study(1993). Cognitive impairment and other social and health factors were assessed in 558 elderly rural community residents. For this study, a Korean version of the Mini-Mental State Examination(MMSEK) was used as a global indicator of cognitive functioning. And mortality risk factors for each cognitive impairment subgroup were identified by univariate and multivariate Cox regression analysis. At baseline 22.6% of the sample were mildly impaired and 14.2% were severely impaired. As the age increased, the cognitive function was more impaired. Sexual difference was existed in the cognitive function level. Also the variables such as smoking habits, physical disorders had the significant relationship with cognitive function impairment. Across a 3-year observation period the mortality rate was 8.5% for the cognitively unimpaired, 11.1% for the mildly impaired, and 16.5% for the severly impaired respendents. And the survival probability was .92 for the cognitively unimpaired, .90 for the mildly impaired, and .86 for the severly impaired respondents. Compared to survival curve for the cognitively unimpaired group, each survival curve for the mildly and the severely impaired group was not significantly different. When adjustments models were not made for the effects of other health and social covariates, each hazard ratio of death of mildly and severely impaired persons was not significantly different as compared with the cognitively unimpaired. But, as MMSEK score increased, significantly hazard ratio of death decreased. Employing Cox univariate proportional hazards model, statistically other significant variables were age, monthly income, smoking habits, physical disorders. Also when adjustments were made for the effects of other health and social covariates, there was no difference in hazard ratio of death between those with severe or mild impairment and unimpaired persons. And as MMSEK score increased, significantly hazard ratio of death did not decrease. Employing Cox multivariate proportional hazards model, statistically other significant variables were age, monthly income, physical disorders. Employing Cox multivariate proportional hazards model by sex, at men and women statistically significant variable was only age. For both men and women, also cognitive impairment was not a significant risk factor. Other investigators have found that cognitive impairment is a significant predictor of mortality. But we didn't find that it is a significant predictor of mortality. Even though the conclusions of our study were not related to cognitive impairment and mortality, early detection of impaired cognition and attention to associated health problems could improve the quality of life of these older adults and perhaps extend their survival.

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Factors Related to Nursing Home Institutionalization of Elderly using Home Care Services (노인장기요양 재가서비스 이용자의 시설 입소 영향 요인)

  • Han, EunJeong;Hwang, RahIl;Lee, JungSuk
    • Journal of Korean Public Health Nursing
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    • v.30 no.3
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    • pp.512-525
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    • 2016
  • Purpose: Ageing in place may improve the quality of life of frail elderly and decrease their costs of services. The purpose of this study was to examine the factors that influence the institutionalization of elderly using home care services in a Korean long-term care insurance system. Methods: This study used the data of '2009 Satisfaction survey of Korean long-term care system'. The survey proceeded to use a sampling data based on region, level of long-term care need, and insurance type among the beneficiaries between August and September 2009. The onset dates of institutionalization of 1,095 participants were ascertained from long-term care insurance claim data. This study calculated the hazard ratio through the Cox Proportional Hazard Model. Results: A total of 176 subjects who were institutionalized in nursing homes were included. There were higher risks in the group that included those who were 85 years and over, had dementia or fracture, used home-visit nursing service, and were not supported by direct family. Conclusion: The results of this study have policy implications to supplement the home care service system and postpone nursing home institutionalization of elderly.

Characteristics Associated with Survival in Patients Receiving Continuous Deep Sedation in a Hospice Care Unit

  • Ahn, Hee Kyung;Ahn, Hong Yup;Park, So Jung;Hwang, In Cheol
    • Journal of Hospice and Palliative Care
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    • v.24 no.4
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    • pp.254-260
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    • 2021
  • Continuous deep sedation (CDS) is an extreme form of palliative sedation to relieve refractory symptoms at the end of life. In this study, we shared our experiences with CDS and examined the clinical characteristics associated with survival in patients with terminal cancer who received CDS. We conducted a chart audit of 106 consecutive patients with terminal cancer who received CDS at a single hospice care unit between January 2014 and December 2016. Survival was defined as the first day of admission to the date of death. The associations between clinical characteristics and survival were presented as hazard ratios and 95% confidence intervals using a Cox proportional hazard model. The mean age of participants was 65.2 years, and 33.0% (n=35) were women. Diazepam was the most commonly administered drug, and haloperidol or lorazepam were also used if needed. One sedative was enough for a majority of the patients. Stepwise multivariate analysis identified poor functioning, a high Palliative Prognostic Index score, hyperbilirubinemia, high serum ferritin levels, and a low number of sedatives as independent poor prognostic factors. Our experiences and findings are expected to be helpful for shared decision-making and further research on palliative sedation.