Relevant bibliographies by topics / Survival analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Survival analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Survival analysis"

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V Kannan R, Pavithra. "Impact of Influential Observations in Survival Analysis." International Journal of Science and Research (IJSR) 12, no. 4 (2023): 1057–62. http://dx.doi.org/10.21275/mr23410105218.

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Kim, J. "Survival Analysis." Pediatrics in Review 33, no. 4 (2012): 172–74. http://dx.doi.org/10.1542/pir.33-4-172.

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Stolberg, Harald O., Geoffrey Norman, and Isabelle Trop. "Survival Analysis." American Journal of Roentgenology 185, no. 1 (2005): 19–22. http://dx.doi.org/10.2214/ajr.185.1.01850019.

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Ziegel, Eric R., M. Parmar, and D. Machin. "Survival Analysis." Technometrics 39, no. 1 (1997): 112. http://dx.doi.org/10.2307/1270802.

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Kim, Julia. "Survival Analysis." Pediatrics In Review 33, no. 4 (2012): 172–74. http://dx.doi.org/10.1542/pir.33.4.172.

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Ravishanker, Nalini. "Survival Analysis." Technometrics 46, no. 1 (2004): 111–12. http://dx.doi.org/10.1198/tech.2004.s740.

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Flynn, Robert. "Survival analysis." Journal of Clinical Nursing 21, no. 19pt20 (2012): 2789–97. http://dx.doi.org/10.1111/j.1365-2702.2011.04023.x.

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Miller, Rupert G. "Survival Analysis." IEEE Transactions on Reliability 35, no. 3 (1986): 315. http://dx.doi.org/10.1109/tr.1986.4335441.

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Freedman, David A. "Survival Analysis." American Statistician 62, no. 2 (2008): 110–19. http://dx.doi.org/10.1198/000313008x298439.

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Streiner, David L., and Geoffrey R. Norman. "Survival analysis." Community Oncology 7, no. 10 (2010): 477–79. http://dx.doi.org/10.1016/s1548-5315(11)70429-6.

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Dissertations / Theses on the topic "Survival analysis"

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Wardak, Mohammad Alif. "Survival analysis." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2810.

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Survival analysis pertains to a statistical approach designed to take into account the amount of time an experimental unit contributes to a study. A Mayo Clinic study of 418 Primary Biliary Cirrhosis patients during a ten year period was used. The Kaplan-Meier Estimator, a non-parametric statistic, and the Cox Proportional Hazard methods were the tools applied. Kaplan-Meier results include total values/censored values.
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Abrams, Keith Rowland. "Bayesian survival analysis." Thesis, University of Liverpool, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316744.

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In cancer research the efficacy of a new treatment is often assessed by means of a clinical trial. In such trials the outcome measure of interest is usually time to death from entry into the study. The time to intermediate events may also be of interest, for example time to the spread of the disease to other organs (metastases). Thus, cancer clinical trials can be seen to generate multi-state data, in which patients may be in anyone of a finite number of states at a particular time. The classical analysis of data from cancer clinical trials uses a survival regression model. This type of model
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Baade, Ingrid Annette. "Survival analysis diagnostics." Thesis, Queensland University of Technology, 1997.

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林國輝 and Kwok-fai Lam. "Topics in survival analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B30408994.

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Lam, Kwok-fai. "Topics in survival analysis /." Hong Kong : University of Hong Kong, 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13829919.

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Yuan, Lin. "Bayesian nonparametric survival analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22253.pdf.

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North, Bernard. "Contributions to survival analysis." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266152.

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Nhogue, Wabo Blanche Nadege. "Hedge Funds and Survival Analysis." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/26257.

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Using data from Hedge Fund Research, Inc. (HFR), this study adapts and expands on existing methods in survival analysis in an attempt to investigate whether hedge funds mortality can be predicted on the basis of certain hedge funds characteristics. The main idea is to determine the characteristics which contribute the most to the survival and failure probabilities of hedge funds and interpret them. We establish hazard models with time-independent covariates, as well as time-varying covariates to interpret the selected hedge funds characteristics. Our results show that size, age, performance, s
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Salter, Amy Beatrix. "Multivariate dependencies in survival analysis." Title page, contents and introduction only, 1999. http://web4.library.adelaide.edu.au/theses/09PH/09phs177.pdf.

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Bibliography: leaves 177-181. This thesis investigates determinants of factors associated with retention of injecting drug users on the South Australian methadone program over the decade 1981 to mid 1991. Truncated multivariate survival models are proposed for the analysis of data from the program, and the theory of graphical chain models applied to the data. A detailed analysis is presented which gives further insight into the nature of the relationships that exist amongst these data. This provides an application of graphical chain models to survival data.
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Wienke, Andreas. "Frailty models in survival analysis." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985529598.

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Books on the topic "Survival analysis"

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O'Quigley, John. Survival Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-33439-0.

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Liu, Xian. Survival Analysis. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118307656.

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Machin, David, Yin Bun Cheung, and Mahesh KB Parmar. Survival Analysis. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470034572.

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Kleinbaum, David G., and Mitchel Klein. Survival Analysis. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-6646-9.

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Klein, John P., and Melvin L. Moeschberger. Survival Analysis. Springer New York, 2003. http://dx.doi.org/10.1007/b97377.

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Kleinbaum, David G. Survival Analysis. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2555-1.

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Klein, John P., and Melvin L. Moeschberger. Survival Analysis. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2728-9.

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Kleinbaum, David G., and Mitchel Klein. Survival Analysis. Springer New York, 2005. http://dx.doi.org/10.1007/0-387-29150-4.

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Guo, Shenyang. Survival analysis. Oxford University Press, 2010.

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Guo, Shenyang. Survival analysis. Oxford University Press, 2010.

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Book chapters on the topic "Survival analysis"

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Tattar, Prabhanjan Narayanachar, and H. J. Vaman. "Survival Trees." In Survival Analysis. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003306979-8.

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Fabri, Peter J. "Survival Analysis." In Measurement and Analysis in Transforming Healthcare Delivery. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40812-5_9.

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Jiang, Hongyu, and Jason P. Fine. "Survival Analysis." In Topics in Biostatistics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-530-5_15.

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Venables, W. N., and B. D. Ripley. "Survival Analysis." In Modern Applied Statistics with S-Plus. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4899-2819-1_11.

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Collett, D. "Survival analysis." In Modelling Survival Data in Medical Research. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3115-3_1.

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Holmes, William H., and William C. Rinaman. "Survival Analysis." In Statistical Literacy for Clinical Practitioners. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12550-3_16.

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Venables, W. N., and B. D. Ripley. "Survival Analysis." In Statistics and Computing. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2719-7_12.

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Friedman, Lawrence M., Curt D. Furberg, and David L. DeMets. "Survival Analysis." In Fundamentals of Clinical Trials. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1586-3_15.

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Friedman, Lawrence M., Curt D. Furberg, and David L. DeMets. "Survival Analysis." In Fundamentals of Clinical Trials. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2915-3_14.

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Venables, W. N., and B. D. Ripley. "Survival Analysis." In Statistics and Computing. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3121-7_12.

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Conference papers on the topic "Survival analysis"

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Wang, Lu, Xinyu Qin, Jingyan Jiang, Yan Li, and Winston Liaw. "Interactive Explainable Deep Survival Analysis." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782608.

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Tjandra, Donna, and Jenna Wiens. "Survival Analysis with Multiple Noisy Labels." In 2024 IEEE International Conference on Data Mining (ICDM). IEEE, 2024. https://doi.org/10.1109/icdm59182.2024.00106.

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Tang, Tianchong. "Survival Analysis of the Titanic Using Random Forests." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013510300004619.

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Huang, Chutong. "The Prediction and Feature Importance Investigation in Titanic Survival Prediction." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013487400004619.

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Zhang, Yufeng, Emily Wittrup, and Kayvan Najarian. "CoxFNN: Interpretable machine learning method for survival analysis." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10781910.

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Asthana, Siddhartha, Pushpendra Singh, and Parul Gupta. "Survival Analysis." In CHI '15: CHI Conference on Human Factors in Computing Systems. ACM, 2015. http://dx.doi.org/10.1145/2702123.2702428.

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Chapfuwa, Paidamoyo, Chunyuan Li, Nikhil Mehta, Lawrence Carin, and Ricardo Henao. "Survival cluster analysis." In ACM CHIL '20: ACM Conference on Health, Inference, and Learning. ACM, 2020. http://dx.doi.org/10.1145/3368555.3384465.

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Wang, Lu, Yan Li, Jiayu Zhou, Dongxiao Zhu, and Jieping Ye. "Multi-task Survival Analysis." In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017. http://dx.doi.org/10.1109/icdm.2017.58.

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Vallapuram, Anish K., Nikhil Nanda, Young D. Kwon, and Pan Hui. "Interpretable business survival prediction." In ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining. ACM, 2021. http://dx.doi.org/10.1145/3487351.3488353.

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Luo, Jinyuan, Zikai Xiao, Wen Shi, et al. "CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis." In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023. http://dx.doi.org/10.1109/icdm58522.2023.00055.

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Reports on the topic "Survival analysis"

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O'Sullivan, Margaret, and Thomas R. Fleming. Statistics for the Two-Sample Survival Analysis Problem Based on Product Limit Estimators of the Survival Functions. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada176956.

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Smith, Steven G., John R. Skalski, and J. Warren Schelechte. Statistical Survival Analysis of Fish and Wildlife Tagging Studies; SURPH.1 Manual - Analysis of Release-Recapture Data for Survival Studies, 1994 Technical Manual. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/654053.

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Kueon, Jessica. A Comparison of Schoenfeld and Generalized Residuals in Survival Analysis. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-26.

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Wang, Jian, Joy D. Van Nostrand, Zhili He, et al. Microarray-based analysis of survival of soil microbial community during ozonation. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/986918.

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Bonilla-Mejía, Leonardo, Andrés Felipe García-Suaza, and Monica Roa. Country risk ratings and financial crises 1995-2001: a survival analysis. Banco de la República, 2008. http://dx.doi.org/10.32468/be.499.

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Bouwes, Nick, Charlie Petrosky, and Howard Schaller. Comparative Survival [Rate] Study (CSS); Design and Analysis, 2002 Technical Report. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/818854.

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Zhao, Zhou, Zhaolun Cai, Tianxiang Jiang, Xiaonan Yin, Bo Zhang, and Xiufeng Chen. Treatment-related adverse events of EZH2 inhibitor therapies in clinical trials: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0028.

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Review question / Objective: In this study, we used conventional Meta-analysis and Network meta-analysis (NMA) to evaluate the survival outcomes of best supportive care only and cytoreductive treatment before transplantation, survival outcomes of different disease states at transplantation, and the effects of each treatment on survival outcomes of MDS, respectively, with a view to comprehensive clinical treatment and individualized treatment of MDS patients before transplantation, providing evidence-based medical evidence, prolonging survival time and improving life quality. Information source
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Yang, Jianguo, Fuyu Zhao, Xinpeng Zhou, et al. Survival and prognosis analysis of systemic lupus erythematosus-pulmonary hypertension: a protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.4.0017.

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Review question / Objective: The study aimed to evaluate survival rates and prognosis in systemic lupus erythematosus (SLE) patients with pulmonary hypertension (PH) using meta-analysis. (P: patients with SLE-PH; I: No intervention; C: No comparator; O: survival and prognosis; S: meta-analysis). Condition being studied: Pulmonary hypertension (PH) is a life-threatening condition characterized by elevated pulmonary arteries pressure due to increased pulmonary vascular resistance1. Symptoms of PH are nonspecific but typically include exertional dyspnea and fatigue. Systemic lupus erythematosus (
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Meng, Wenwen, Haiyan Shi, Jie Liu та ін. NF-κB expression and survival outcomes in gastric cancer: A meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.8.0037.

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McKeague, Ian W., and Mei-Jie Zhang. On the Analysis of Grouped Survival Data Using Cumulative Occurrence/Exposure Rates. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238219.

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