Integrative prognostic modeling of ovarian cancer: incorporating genetic, clinical, and immunological markers by Aidi Lin, Feifei Xue, Chenxiang Pan, Lijiao Li

“…Utilizing data from The Cancer Genome Atlas (TCGA), we identified significant prognostic genes through differential expression and survival analysis, integrating these with clinical features and immune landscape assessments including immune cell infiltration and checkpoint expression. …”
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DeepWei-Cu: A Deep Weibull Network for Cure Fraction Models by Ola Abuelamayem

“… Introduction: Survival analysis including cure fraction subgroups is heavily used in different fields like economics, engineering and medicine. …”
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Ocular adnexal lymphoma – A single-center observational study of survival outcomes by Karuvel Kannan Saraswathi, Pragya Saini, Radhakrishnan Santhi, Veerappan Muthukkaruppan, Ayyasamy Vanniarajan, Usha Kim

“…Methods: A total of 123 patients were included in the study; of these, 93 patients were selected for survival analysis. Survival data were analyzed using the Kaplan-Meier test, and correlation was assessed through the log-rank test and Cox regression analysis. …”
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A Novel Prognostic Stratified System Based on Tumor Budding and the Cell Nest Size in Ureter Urothelial Carcinoma by Jialin Li, Xinyue Li, Jing Yang

“…The results showed that higher tumor budding, cell nest size, and TBNS grading system were strongly related to shorter overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS). Multivariate survival analysis showed the TBNS grading system to be closely related to the independent prognosis of DFS and DSS. …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…Shapley additive explanations analysis ranked variable importance. Kaplan-Meier survival analysis evaluated the impact of GIB on short-term survival. …”
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Evaluating the surgical and oncological outcomes of hepatic artery variations in minimally invasive pancreaticoduodenectomy: insights from 2023 data at a high-volume pancreatic cen... by Tianyu Li, Liangbo Dong, Dongming Zhang, Jiashu Han, Menghua Dai, Junchao Guo, Qiang Xu, Weibin Wang, Xianlin Han, Chen Lin

“…Propensity score matching (PSM) was used to minimize baseline confounding. Survival analysis was performed using the Kaplan-Meier method with log-rank tests. …”
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Risk factors and prediction model of breast cancer-related lymphoedema in a Chinese cancer centre: a prospective cohort study protocol by Yue Wang, Xin Li, Ying Wang, Hongmei Zhao, Qian Lu, Yujie Zhou, Liyuan Zhang, Aomei Shen, Jingru Bian, Wanmin Qiang, Jingming Ye, Hongmeng Zhao, Yubei Huang, Zhongning Zhang, Peipei Wu

“…Data collection, storage and management were conducted using the online ‘H6WORLD’ data management platform. Survival analysis using the Kaplan-Meier estimate will determine the incidence of BCRL. …”
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Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer by Jing Yang, Huifen Ye, Xinjuan Fan, Yajun Li, Xiaomei Wu, Minning Zhao, Qingru Hu, Yunrui Ye, Lin Wu, Zhenhui Li, Xueli Zhang, Changhong Liang, Yingyi Wang, Yao Xu, Qian Li, Su Yao, Dingyun You, Ke Zhao, Zaiyi Liu

“…In the primary cohort, survival analysis showed a significant difference in 5-year survival rates between score 4 and score 1 groups: 87.4% vs. 58.2% (Hazard ratio for score 4 vs. score 1 0.27, 95% confidence interval 0.15–0.48, P < 0.001). …”
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New Test for the Comparison of Survival Curves to Detect Late Differences by Ildephonse Nizeyimana, Samuel Mwalili, George Orwa

“…Background. Survival analysis attracted the attention of different scientists from various domains such as engineering, health, and social sciences. …”
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Marshall–Olkin Extended Gumbel Type-II Distribution: Properties and Applications by Farwa Willayat, Naz Saud, Muhammad Ijaz, Anita Silvianita, Mahmoud El-Morshedy

“…These applications are found in reliability engineering, computer sciences, economics, psychology, survival analysis, and some others. This study offers a new probability model called Marshall–Olkin Extended Gumbel Type-II (MOEGT-II) which can model various shapes of the failure rate function. …”
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Survival Model of Drivers’ Speed Reduction Time at Bicycle Crossroads: A Driving Simulator Study by Francesco Bella, Manuel Silvestri

“…The method of the survival analysis was applied to model the driver speed reduction time (the elapsed time to pass from the initial speed to the minimum speed during the yielding maneuver) with the use of the Weibull distribution. …”
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On the power of Gini index-based goodness-of-fit test for the Inverse Gaussian distribution by Hadi Alizadeh Noughabi, Mohammad Shafaei Noughabi

“…The Inverse Gaussian distribution finds application in various fields, such as finance, survival analysis, psychology, engineering, physics, and quality control. …”
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Radical Prostatectomy: An Option for High-Risk Prostate Cancer by S. Rausch, C. Schmitt, T. Kälble

“…Patient survival and time to PSA recurrence were recorded, and the Kaplan-Meier survival analysis was performed. Postoperative quality of life and functional status were investigated using a SF-12 questionnaire and determining the number of pads used per day. …”
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Multivariate Cox regression analysis of prognostic genes and therapeutic mechanisms of gastric cancer by Yangyang Xiao, Zhiru Zhong, Chunli Yang, Zhiying Lin

“…A PPI network was established for PRG to identify four key genes (KG), namely LMOD1, CRYAB, VCL and MYL9. Survival analysis showed that patients with high expression of KG had poor prognosis. …”
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Reliability Estimation of Inverse Lomax Distribution Using Extreme Ranked Set Sampling by Amer Ibrahim Al-Omari, Amal S. Hassan, Naif Alotaibi, Mansour Shrahili, Heba F. Nagy

“…In survival analysis, the two-parameter inverse Lomax distribution is an important lifetime distribution. …”
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Hubungan antara Rasio Neutrofil Terhadap Limfosit Preterapi dengan Angka Harapan Hidup Pasien Karsinoma Nasofaring di RSUD Abdoel Wahab Sjahranie Tahun 2018 by Nabiella Hasti Aulia, Hadi Irawiraman, Eva Susanti

“…Thirty-three data of patient medical records were obtained and analyzed using Kaplan-Meier survival analysis with a significant p-value of <0.05. …”
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Psychosis in Parkinson's disease in a Southeast Asian cohort: prevalence and clinical correlates by Vanessa Wai Ling Mok, Lai Gwen Chan, Justine Chay Boon Goh, Louis Chew Seng Tan

“…The data analysed included scores from clinician assessments of cognitive function, disease severity and presence of psychotic symptoms, conducted when clinically appropriate during patients’ medical visits. Survival analysis and logistic and linear regression analysis were performed. …”
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Oncologic Impact of Conservative Treatment Compared with Surgical Treatment of Anastomotic Leakage Following Colorectal Cancer Surgery: A Retrospective Study by Junichi Sakamoto, Atsuko Tsutsui, Chie Hagiwara, Go Wakabayashi

“…Results: Seven (21.2%) patients in the conservative group experienced LR, while none in the surgical group. Survival analysis indicated no differences in overall and recurrent-free survival. …”
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Prognostic Factors for Cancer-Specific Survival and Disease-Free Interval of Dogs with Mammary Carcinomas by Elaine da Silva Soares, Fabrício Luciani Valente, Carolina Camargos Rocha, Carlos Eduardo Real Pereira, Thaís Barroso Sarandy, Fabiano Luiz Dulce de Oliveira, Sabrina Loise de Morais Calado, Andréa Pacheco Batista Borges

“…These factors were also significant in the overall survival analysis. Therefore, these parameters should be considered valuable risk and prognostic factors for CMTs.…”
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Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application by Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba

“…In several experiments of survival analysis, the cause of death or failure of any subject may be characterized by more than one cause. …”
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