• 제목/요약/키워드: survival regression

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The Effect of Situational, Transformational, and Transactional Leadership on Firm Survival During the Crisis of Covid-19: Empirical Evidence from Restaurants Distribution in Thailand

  • Purit PONGPEARCHAN;Jirayu RATTANABORWORN
    • 유통과학연구
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    • 제21권8호
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    • pp.11-21
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    • 2023
  • Purpose: This study examined the effect of situational, transformational, and transactional leadership on the firm survival of restaurants distribution in Thailand during the COVID-19 pandemic. Following the existing literature, situational, transformational, and transactional leadership are the origin of firm performance leading to firm survival. Therefore, situational, transformational, and transactional leadership were the critical factors in creating the firm implementation of restaurants distribution in Thailand. Research design, data, and methodology: The sample consisted of 400 restaurants in Thailand, and the statistical approach for data analysis was an ordinary least-squares regression. The study analyzed the response bias, validity, and reliability. Results: Significantly, these findings firmly revealed that situational, transformational, and transactional leadership primarily positively affected firm performance. However, the uncertain environmental conditions had a moderate impact, resulting in a negative correlation between the three leadership styles and the company's performance. Conclusions: Despite the COVID-19 situation in Thailand, the research findings show no significant positive correlation between the performance of restaurants distribution and their survival as a business due to the COVID-19 pandemic is rare for firms to endure and survive, including restaurants distribution in Thailand. In conclusion, we have presented practical and theoretical ideas and recommendations for future research.

랜덤 포리스트를 이용한 비제어 급성 출혈성 쇼크의 흰쥐에서의 생존 예측 (A Survival Prediction Model of Rats in Uncontrolled Acute Hemorrhagic Shock Using the Random Forest Classifier)

  • 최준열;김성권;구정모;김덕원
    • 대한의용생체공학회:의공학회지
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    • 제33권3호
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    • pp.148-154
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    • 2012
  • Hemorrhagic shock is a primary cause of deaths resulting from injury in the world. Although many studies have tried to diagnose accurately hemorrhagic shock in the early stage, such attempts were not successful due to compensatory mechanisms of humans. The objective of this study was to construct a survival prediction model of rats in acute hemorrhagic shock using a random forest (RF) model. Heart rate (HR), mean arterial pressure (MAP), respiration rate (RR), lactate concentration (LC), and peripheral perfusion (PP) measured in rats were used as input variables for the RF model and its performance was compared with that of a logistic regression (LR) model. Before constructing the models, we performed 5-fold cross validation for RF variable selection, and forward stepwise variable selection for the LR model to examine which variables were important for the models. For the LR model, sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (ROC-AUC) were 0.83, 0.95, 0.88, and 0.96, respectively. For the RF models, sensitivity, specificity, accuracy, and AUC were 0.97, 0.95, 0.96, and 0.99, respectively. In conclusion, the RF model was superior to the LR model for survival prediction in the rat model.

Charlson Comorbidity Index를 활용한 폐암수술환자의 건강결과 예측에 관한 연구 (Health Outcome Prediction Using the Charlson Comorbidity Index In Lung Cancer Patients)

  • 김세원;윤석준;경민호;윤영호;김영애;김은정;김경운
    • 보건행정학회지
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    • 제19권4호
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    • pp.18-32
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    • 2009
  • The goal of this study was to predict the health outcomes of lung cancer surgery based on the Charlson comorbidity index (CCI). An attempt was likewise made to assess the prognostic value of such data for predicting mortality, survival rate, and length of hospital stay. A medical-record review of 389 patients with non-small-cell lung cancer was performed. To evaluate the agreement, the kappa coefficient was tested. Logistic-regression analysis was also conducted within two years after the surgery to determine the association of CCI with death. Survival and multiple-regression analyses were used to evaluate the relationship between CCI and the hospital care outcomes within two-year survival after lung cancer surgery and the length of hospital stay. The results of the study showed that CCI is a valid prognostic indicator of two-year mortality and length of hospital stay, and that it shows the health outcomes, such as death, survival rate, and length of hospital stay, after the surgery, thus enabling the development and application of the methodology using a systematic and objective scale for the results.

Prognostic Value of β-catenin Expression in Breast Cancer Patients: a Meta-analysis

  • Zhang, De-Pu;Li, Xiao-Wei;Lang, Jing-He
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권14호
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    • pp.5625-5633
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    • 2015
  • Background: ${\beta}$-catenin plays a crucial role in the progression of breast cancer (BC) and a prognostic role of in BC patients has been widely reported. However, controversy still remains. Materials and Methods: Identical search strategies were used to search relevant literature in electronic databases updated to July 1, 2014. Individual hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted and pooled HRs with 95%CIs were used to evaluate the strength of association between positive ${\beta}$-catenin expression in different subcellular locations and survival results of BC patients. Subgroup and meta-regression analyses were performed to explore heterogeneity. Funnel plots of Begg's and Egger's linear regression test were used to investigate publication bias. Heterogeneity and sensitivity were also assessed. All the work was completed using STATA. Results: A total of 2,204 patients from 12 evaluative studies were finally included. Pooled HRs and 95%CIs suggested that ${\beta}$-catenin expression in cytoplasm/nucleus had an unfavorable impact on both overall survival (OS) (HR: 1.93, 95%CI: 1.40-2.65) and disease free survival (DFS)/ recurrent free survival (RFS) (HR: 1.60, 95%CI: 1.20-2.13) in BC patients. However, here was no significant association between ${\beta}$-catenin expression in the membranes with OS (HR: 0.65, 95%CI: 0.42-1.02) or DFS/RFS (HR: 0.66, 95%CI: 0.38-1.13). Publication bias was absent in all of the four outcomes. Sensitivity analysis revealed that the results of this meta-analysis were robust. Conclusions: Positive ${\beta}$-catenin expression in cytoplasm/nucleus rather than in membrane is a significant prognostic factor in patients with BC who have been surgically treated.

Significance of Vesicle-Associated Membrane Protein 8 Expression in Predicting Survival in Breast Cancer

  • Yuan, Mengci;Liao, Jianhua;Luo, Ji;Cui, Mengyao;Jin, Feng
    • Journal of Breast Cancer
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    • 제21권4호
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    • pp.399-405
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    • 2018
  • Purpose: Vesicle-associated membrane protein 8 (VAMP8) is a soluble N-ethylmaleimide-sensitive factor receptor protein that participates in autophagy by directly regulating autophagosome membrane fusion and has been reported to be involved in tumor progression. Nevertheless, the expression and prognostic value of VAMP8 in breast cancer (BC) remain unknown. This study aimed to evaluate the clinical significance and biological function of VAMP8 in BC. Methods: A total of 112 BC samples and 30 normal mammary gland samples were collected. The expression of VAMP8 was assessed in both BC tissues and normal mammary gland tissues via a two-step immunohistochemical detection method. Results: The expression of VAMP8 in BC tissues was significantly higher than that in normal breast tissues. Furthermore, increased VAMP8 expression was significantly correlated with tumor size (p=0.007), lymph node metastasis (p=0.024) and recurrence (p=0.001). Patients with high VAMP8 expression had significantly lower cumulative recurrence-free survival and overall survival (p<0.001 for both) than patients with low VAMP8 expression. In multivariate logistic regression and Cox regression analyses, lymph node metastasis and VAMP8 expression were independent prognostic factors for BC. Conclusion: VAMP8 is significantly upregulated in human BC tissues and can thus be a practical and potentially effective surrogate marker for survival in BC patients.

글루포시네이트 암모늄 제초제 중독환자에서 혈중 암모니아 농도와 사망률과의 연관성에 대한 연구 (Initial Serum Ammonia as a Predictor of Mortality in Patients with Acute Glufosinate Ammonium Herbicide Poisoning)

  • 고은나래;김동훈;이수훈;정진희;이상봉;성애진;서자현;강창우
    • 대한임상독성학회지
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    • 제18권2호
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    • pp.136-140
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    • 2020
  • Purpose: The association of the initial serum ammonia level with in-hospital mortality in patients with acute glufosinate-ammonium herbicide poisoning was studied. Methods: This retrospective cohort study was conducted between March 2012 and August 2019 in the emergency department after glufosinate-ammonium herbicide poisoning. Survivors and non-survivors were analyzed using a Mann-Whitney U test and Fisher's exact test. Multivariate logistic regression analysis was performed to determine the independent risk factors for mortality. Results: One hundred and six patients were enrolled; 11 died, yielding a mortality of 10.4%. The serum bicarbonate level was significantly lower in the non-survival group than the survival group. Age, serum ammonia, blood urea nitrogen, creatinine levels, SOFA score, and APACHE II score were significantly higher in the non-survival group than the survival group. Age, serum ammonia, and creatinine level were independent risk factors for mortality in multivariate logistic regression analysis. Conclusion: The initial serum ammonia level is associated with mortality in patients with acute glufosinate herbicide poisoning.

A retrospective comparison of clinical outcomes of implant restorations for posterior edentulous area: 3-unit bridge supported by 2 implants vs 3 splinted implant-supported crowns

  • Yi, Yuseung;Heo, Seong-Joo;Koak, Jai-Young;Kim, Seong-Kyun
    • The Journal of Advanced Prosthodontics
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    • 제14권4호
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    • pp.223-235
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    • 2022
  • PURPOSE. To compare the clinical outcomes of two types of implant restoration for posterior edentulous area, 3-unit bridge supported by 2 implants and 3 implant-supported splinted crowns. MATERIALS AND METHODS. The data included 127 implant-supported fixed restorations in 85 patients: 37 restorations of 3-unit bridge supported by 2 implants (2-IB), 37 restorations of 3 implant-supported splinted crowns (3-IC), and 53 single restorations (S) as controls. Peri-implantitis and mechanical complications that occurred for 14 years were analyzed by multivariable Cox regression model. Kaplan-Meier curves and the multivariable Cox regression model were used to analyze the success and survival of implants. RESULTS. Peri-implantitis occurred in 28.4% of 2-IB group, 37.8% of 3-IC group, and 28.3% of S control group with no significant difference. According to the implant position, middle implants (P2) of the 3-IC group had the highest risk of peri-implantitis. The 3-IC group showed a lower mechanical complication rate (7.2%) than the 2-IB (16.2%) and S control group (20.8%). The cumulative success rate was 52.8% in S (control) group, 62.2% in 2-IB group, and 60.4% in 3-IC group. The cumulative survival rate was 98.1% in S (control) group, 98.6% in 2-IB group, and 95.5% in 3-IC group. There was no significant difference in the success and survival rate according to the restoration type. CONCLUSION. The restoration type was not associated with the success and survival of implants. The risk of mechanical complications was reduced in 3 implant-supported splinted crowns. However, the middle implants of the 3 implant-supported splinted crowns had a higher risk of peri-implantitis.

Ensemble variable selection using genetic algorithm

  • Seogyoung, Lee;Martin Seunghwan, Yang;Jongkyeong, Kang;Seung Jun, Shin
    • Communications for Statistical Applications and Methods
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    • 제29권6호
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    • pp.629-640
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    • 2022
  • Variable selection is one of the most crucial tasks in supervised learning, such as regression and classification. The best subset selection is straightforward and optimal but not practically applicable unless the number of predictors is small. In this article, we propose directly solving the best subset selection via the genetic algorithm (GA), a popular stochastic optimization algorithm based on the principle of Darwinian evolution. To further improve the variable selection performance, we propose to run multiple GA to solve the best subset selection and then synthesize the results, which we call ensemble GA (EGA). The EGA significantly improves variable selection performance. In addition, the proposed method is essentially the best subset selection and hence applicable to a variety of models with different selection criteria. We compare the proposed EGA to existing variable selection methods under various models, including linear regression, Poisson regression, and Cox regression for survival data. Both simulation and real data analysis demonstrate the promising performance of the proposed method.

전이암 환자에서 단일기관 영양검색 도구의 예후 가치 (Prognostic Value of a Single Center Nutrition Screening Tool in Patients with Metastatic Cancer)

  • 윤성수;김민진;김은혜;이지영;윤성우
    • 대한암한의학회지
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    • 제24권2호
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    • pp.1-11
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    • 2019
  • Objectives : We investigated whether a single center nutrition screening tool (Kyunghee Neo Nutrition Risk Screening, KNNRS) can predict survival in patients with metastatic cancer. Methods : We retrospectively reviewed data of inpatients with metastatic cancer from April 2016 to August 2019. Data on demographic and clinical parameters were collected from electronic medical records, and overall survival was estimated using the Kaplan-Meier method. Stepwise Cox regression analysis was used to determine factors associated with survival. Patients with a KNNRS score of 0 to 3 were classified as "no-risk", 4 to 10 as "low-risk", and 11 to 20 as "high-risk". Results : Total 105 patients were included in the study. According to nutritional screening at baseline, 25 patients (23.8%, median age 57.0) were classified as ""no risk"" group; 80 patients (76.2%, median age 68.5) as "low risk" group; No patients as "high risk" group. Predictors of survival were Eastern Cooperative Oncology Group Performance Status score of 3 or 4 (hazard ratio [HR] = 1.93; 95% confidence interval [CI] = 1.21-3.10), hemoglobin less than 10 g/dL (HR = 1.97; 95% CI = 1.25-3.10) and C-reactive protein more than 1.0 mg/dL (HR = 1.95; 95% CI = 1.21-3.13). Kaplan-Meier survival analysis showed significant differences in the survival between KNNRS groups: ""no risk"" group: 6.1 ± 1.4 months (95% CI = 3.37-8.83); ""low risk"" group: 3.4 ± 0.9 months (95% CI = 1.5-5.37). Conclusions : Nutritional status according to KNNRS wasn't significant predictor of survival for patients with metastatic cancer. Improvement of KNNRS score thresholds is needed.

Improved Survival of Cervical Cancer Patients in a Screened Population in Rural India

  • Jayant, Kasturi;Sankaranarayanan, Rengaswamy;Thorat, Ranjit V;Muwonge, Richard;Hingmire, Sanjay J;Panse, Nandkumar S;Shastri, Surendra S;Malvi, Sylla G;Nene, Bhagwan
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권11호
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    • pp.4837-4844
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    • 2016
  • Objectives: To describe the survival experience of cervix cancer patients in a screened rural population in India. Methods: Included 558 cervical cancer patients diagnosed in 2000-2013 in a cohort of 100,258 women invited for screening during 2000-2003. The primary end point was death from cervical cancer. We used the Kaplan-Meier method to estimate cumulative observed survival and Cox proportional hazards regression to assess the effect of patient characteristics on survival after diagnosis. Results: Of the 558 cases included, 143 (26%) and 114 (20%) were diagnosed in stages IA and IB respectively; 252 (45.2%) were dead, and 306 (54.8%) were alive at the last follow-up. The overall 5-year observed survival was 60.5%. The 5-year survival of stage IA patients was 95.1% and 5.3% for stage IV patients. All surgically treated stage IA patients, 94.1% of stage IB patients receiving intracavitary radiotherapy, 62% of stage IIB, 49% of stage III and 25% of stage IV patients receiving radiotherapy survived for 5 years. Conclusion: Higher 5-year survival in our study than elsewhere in India is due to the high proportion of early stage cancers detected by screening combined with adequate treatment, resulting into a favourable prognosis.