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Relevant bibliographies by topics / Survival probability

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Academic literature on the topic 'Survival probability'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Survival probability"

1

Zarate-Herrada, David A., Lea F. Santos, and E. Jonathan Torres-Herrera. "Generalized Survival Probability." Entropy 25, no. 2 (2023): 205. http://dx.doi.org/10.3390/e25020205.

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Survival probability measures the probability that a system taken out of equilibrium has not yet transitioned from its initial state. Inspired by the generalized entropies used to analyze nonergodic states, we introduce a generalized version of the survival probability and discuss how it can assist in studies of the structure of eigenstates and ergodicity.

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Casati, Giulio, Italo Guarneri, and Giulio Maspero. "Fractal Survival Probability Fluctuations." Physical Review Letters 84, no. 1 (2000): 63–66. http://dx.doi.org/10.1103/physrevlett.84.63.

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Wadia, Reena. "Survival probability of autotransplanted teeth." British Dental Journal 226, no. 12 (2019): 950. http://dx.doi.org/10.1038/s41415-019-0466-5.

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Crawford, T. O. "Survival probability in ataxia telangiectasia." Archives of Disease in Childhood 91, no. 7 (2005): 610–11. http://dx.doi.org/10.1136/adc.2006.094268.

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Stockman, J. A. "Survival probability in ataxia telangiectasia." Yearbook of Pediatrics 2008 (January 2008): 364–66. http://dx.doi.org/10.1016/s0084-3954(08)70471-8.

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Luo, Jian-hua. "Survival probability and ruin probability of a risk model." Applied Mathematics-A Journal of Chinese Universities 23, no. 3 (2008): 256–64. http://dx.doi.org/10.1007/s11766-008-1916-z.

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Hanada, Toshiya, Hiroshi Hirayama, Atsushi Oishi, Yosuke Tanaka, and Tetsuo Yasaka. "Survival Probability Assessment of Space Tethers." JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 54, no. 630 (2006): 295–304. http://dx.doi.org/10.2322/jjsass.54.295.

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García-Calderón, Gastón, Verónica Riquer, and Roberto Romo. "Survival probability of a single resonance." Journal of Physics A: Mathematical and General 34, no. 19 (2001): 4155–65. http://dx.doi.org/10.1088/0305-4470/34/19/313.

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Levin, E., A. D. Martin, and M. G. Ryskin. "Survival probability of large rapidity gaps." Journal of Physics G: Nuclear and Particle Physics 25, no. 7 (1999): 1507–10. http://dx.doi.org/10.1088/0954-3899/25/7/336.

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Dettmann, Carl P., and Mohammed R. Rahman. "Survival probability for open spherical billiards." Chaos: An Interdisciplinary Journal of Nonlinear Science 24, no. 4 (2014): 043130. http://dx.doi.org/10.1063/1.4900776.

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Dissertations / Theses on the topic "Survival probability"

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Zaganides, Alexia. "Evolving probability of survival following acute myocardial infarction." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393249.

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Fu, Xiaoqian. "Probability of Survival in a Random Exchange Economy." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/320109.

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Lan, Yi. "Survival Probability and Intensity Derived from Credit Default Swaps." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-theses/82.

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This project discusses the intensity and survival probability derived from Credit Default Swaps (CDS). We utilize two models, the reduced intensity model and the Shift Square Root Diffusion (SSRD) model. In the reduced intensity model, we assume a deterministic intensity and implement a computer simulation to derive the survival probability and intensity from the CDS market quotes of the company. In the SSRD model, the interest rate and intensity are both stochastic and correlated. We discuss the impaction of correlation on the interest rate and intensity. We also conduct a Monte Carlo simulat

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Christiansson, Alexander. "Classication of survival data by comparison of survival functions : an application to prostate cancer registry data." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420703.

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Rouki, Chariklia. "Experimental studies of the synthesis and the survival probability of transactinides /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4690.

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Shao, Qiming. "Probability of Survival of an Economy Agent in a Markov Model for Investment." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/321941.

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潘成達 and Shing-Tat Poon. "Measuring the degree of dependence of lifetimes in some bivariate survival distributions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31977443.

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Poon, Shing-Tat. "Measuring the degree of dependence of lifetimes in some bivariate survival distributions." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787421.

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Grannas, David, and Edvin Volgsten. "Mediation and Interaction with Application to Survival After Myocardial Infarction." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-339939.

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Previous studies have found that the socioeconomic risk factors education, income and family type were independently associated with mortality after first myocardial infarction (MI). In this population-based cohort study we study how these socioeconomic risk factors are related to the mortality among first MI survivors within 365 days. To this end, we use the four-way decomposition analysis which decomposes the total effect of the exposure into the effect that is due to only mediation, due to only interaction, due to both mediation and interaction and due to neither mediation nor interaction.

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Kaponen, Martina. "Prediction of survival time of prostate cancer patients using Cox regression." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354482.

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Books on the topic "Survival probability"

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Teck, Richard M. Individual-tree probability of survival model for the Northeastern United States. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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Teck, Richard M. Individual-tree probability of survival model for the Northeastern United States. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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Teck, Richard M. Individual-tree probability of survival model for the Northeastern United States. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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Teck, Richard M. Individual-tree probability of survival model for the Northeastern United States. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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Teck, Richard M. Individual-tree probability of survival model for the Northeastern United States. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1990.

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W, Gould William, and Gutierrez Roberto Gabriel 1970-, eds. An introduction to survival analysis using Stata. Stata Press, 2004.

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Xian, Zhou, ed. Survival analysis with long-term survivors. Wiley, 1996.

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Galway, Katrina. Child survival: Risks and the road to health. Institute for Resource Development at Westinghouse, 1987.

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P, Harrington David, ed. Counting processes and survival analysis. Wiley, 1991.

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Tableman, Mara. Survival analysis using S: Analysis of time-to-event data. Chapman & Hall/CRC, 2002.

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Book chapters on the topic "Survival probability"

1

Horton, Emma, and Andreas E. Kyprianou. "Survival at Criticality." In Probability and Its Applications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-39546-8_10.

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Karim, Md Rezaul, and M. Ataharul Islam. "Probability Distribution of Lifetimes: Uncensored." In Reliability and Survival Analysis. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9776-9_3.

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Gamerman, Dani. "Dynamic Inference on Survival Functions." In Probability and Bayesian Statistics. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1885-9_19.

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Waltner, Daniel. "Survival Probability and Fidelity Decay." In Springer Tracts in Modern Physics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24528-2_3.

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Liggett, T. M. "Survival and Coexistence in Interacting Particle Systems." In Probability and Phase Transition. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-015-8326-8_12.

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Karim, Md Rezaul, and M. Ataharul Islam. "Probability Distribution of Lifetimes: Censored and Left Truncated." In Reliability and Survival Analysis. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9776-9_6.

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Johnson, Richard A., and K. T. Wu. "Nonparametric Estimation of Conditional Survival Under Destructive Testing." In Asymptotics in Statistics and Probability, edited by Madan L. Puri. De Gruyter, 2000. http://dx.doi.org/10.1515/9783110942002-018.

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Jin, Zhezhen, and Mounir Mesbah. "Unidimensionality, Agreement and Concordance Probability." In Statistical Models and Methods for Reliability and Survival Analysis. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118826805.ch1.

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Tyrrell, G. N. M. "Nature of the Communicators—Antecedent Probability of Survival." In Science and Psychical Phenomena. Routledge, 2022. http://dx.doi.org/10.4324/9781003290926-26.

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Glaz, Joseph, and James R. Kenyon. "Probability Approximations and Inequalities for Sequential Tests." In Lifetime Data: Models in Reliability and Survival Analysis. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5654-8_15.

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Conference papers on the topic "Survival probability"

1

Podder, Nitun Kumar, Salma Khatun, and MD Anamul Haque. "Identification of Influential Genes and Survival Probability of Colorectal Cancer Patients." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. https://doi.org/10.1109/ecce64574.2025.11013074.

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Rojo, Javier, and Arturo Bronson. "Estimation of Survival Probabilities in Pitting Corrosion Experiments." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92226.

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Abstract It is well established that probability concepts are important in pitting corrosion phenomena, since wide scatter is usually observed in the data even when carefully designed experimental procedures are used. The scatter suggests that pitting corrosion must be analyzed using statistical tools. When estimating survival probabilities it is often reasonable to assume that these probabilities must follow a prespecified order, which is usually imposed by experimental conditions such as electrolyte concentration or electrode potentials. Typically, survival probabilities are estimated using

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Rahman, Mohammad, Adiba Mahmud, Samiha Nazrul, and Fan Wu. "Game-Theoretic Analysis of Survival Probability in Mission-Critical Systems: Leveraging Component Diversity and Redundancy." In 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2025. https://doi.org/10.1109/ccwc62904.2025.10903876.

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Jose, N. N., Pratibha C. Kaladeep Yalagi, Shilpa P, S. Sankar, Jeetesh Kumar Srivastava, and Nookala Venu. "Utilising Machine Learning Techniques to Evaluate the Survival Probability of Head and Neck Cancer Patients Based on Their Smoking Habits and Medical History." In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, 2025. https://doi.org/10.1109/iccsai64074.2025.11064636.

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Case, Raymundo. "Assessment of CO2 Corrosion Damage Distribution in Oilwells by Deterministic and Stochastical Modelling." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08541.

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Abstract In the present paper, an a priori corrosion damage distribution assessment methodology is implemented to study the production casing failures observed in oilwells operating within a mature oilfield (Oritupano A, Venezuela). The methodology developed aims at the assessment of corrosion damage and subsequent probability of failure. The study approach is based on the mechanistic modelling of CO2 corrosion coupled with a stochastical simulation for the associated corrosion damage distribution The stochastical model developed for the assessment of the corrosion related damage distribution

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Case, Raymundo P., Hernan E. Rincon, Dale R. McIntyre, and Shanen R. Hernandez. "Pit Metastability and Stress Corrosion Cracking Susceptibility Assessment of Austenitic Stainless Steels in Sour Gas Service Conditions." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02235.

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Abstract A stochastic model is developed to assess the susceptibility of series 300 stainless steels to stress corrosion cracking under sour service conditions. The model is based on the hypothesis that the critical conditions for crack initiation and propagation are satisfied in the metastable pit regime found in H2S-containing environments. The model determines the probability of cracking by forecasting the most likely elapsed time to achieve sustained crack growth. The boundary conditions for the stochastic model are provided by experimental evaluation of the pit survival rate using a weak

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Smith, David J., Sean J. Josephson, and John C. Bischof. "A Model of Cryosurgical Destruction in AT-1 Prostate Tumor Based on Cellular Damage Mechanisms." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1326.

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Abstract The thermal history during a prostate cryosurgery is known to lead to different cooling rates, end-temperatures and end-times within a cryosurgical iceball. The tissue exposed to this range of thermal histories will experience thermally-induced biophysical events which affect cell viability (dehydration and intracellular ice formation. IIF), injury due solely to the temperature and time of exposure, and injury due to host response. In this study, the dehydration and IIF behavior of single AT-1 prostate cancer cells is experimentally measured, the biophysical parameters of water transp

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Forward, Robert. "RETRIEVE Tether Survival Probability." In 38th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-4047.

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Gotsman, Errol, Roberto Fiore, Igor Ivanov, Alessandro Papa, and Jacques Soffer. "Survival Probability at the LHC." In DIFFRACTION 2008: International Workshop on Diffraction in High Energy Physics. AIP, 2009. http://dx.doi.org/10.1063/1.3122177.

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OHTA, Masahisa. "SURVIVAL PROBABILITY FOR HEAVY COMPOUND NUCLEI." In Proceedings of the International Workshop. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812810083_0009.

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Reports on the topic "Survival probability"

1

Forward, Robert L. Retrieve Tether Survival Probability. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada410113.

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Xu, Xiaojiang, Mitesh Amin, and William R. Santee. Probability of Survival Decision Aid (PSDA). Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada478331.

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Canavan, G. H. Probability of survival from multiple weapon attacks. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/474899.

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Hudomiet, Péter, and Robert Willis. Estimating Second Order Probability Beliefs from Subjective Survival Data. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18258.

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Liu, Jin-Tan, Meng-Wen Tsou, and James Hammitt. Health Information and Subjective Survival Probability: Evidence from Taiwan. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w12864.

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CONNOLLY, MARIE, AKAKPO DOMEFA KONOU, and MARIE-LOUISE LEROUX. Evaluating the relationship between income, survival and loss of autonomy among older Canadians. CIRANO, 2023. http://dx.doi.org/10.54932/njrj5247.

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Evaluating the relationship between health at old age and income is crucial for the design of equitable public policies targeted toward the elderly. Using 2016 Canadian survey data on adults aged between 50 and 70, we estimate the relationships between individual income, longevity and dependency at the old age. We use both subjective and objective measures of the probability to survive to age 85, of the probability to have activities of daily living (ADL) limitations, and of the probability of entering a nursing home. We find that income and the (objective and subjective) probability to live t

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Teck, Richard M., Donald E. Hilt, and Donald E. Hilt. Individual-tree probability of survival model for the Northeastern United States. U.S. Department of Agriculture, Forest Service, North Central Research Station, 1990. http://dx.doi.org/10.2737/ne-rp-642.

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Prinja, Anil K. Notes on the Lumped Backward Master Equation for the Neutron Extinction/Survival Probability. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1045392.

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Navarro, Lucas. Entrepreneurship Policy and Firm Performance: Chile's CORFO Seed Capital Program. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0008445.

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This paper uses administrative data from projects for which an application was made to CORFO's (Chile's main development agency) Seed Capital Program (SCP) during the 2008-12 period. This paper analyzes the impact of the program, which is a subsidy provided to new, innovative firms, on Start, Growth, and Survival. The projects are supported by sponsors in the application process. Results of our analysis indicate that, controlling for observed characteristics, projects that received the subsidy had a 9.5 percentage point higher probability of starting to sell. Among created firms, subsidized (T

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Volpe Martincus, Christian, and Jerónimo Carballo. Survival of New Exporters in Developing Countries: Does it Matter How They Diversify? Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0011058.

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Recent studies have shown that developing countries might have significantly better export performance if they were able to increase the duration of their trade relationships. Evidence on duration of these relationships at the firm level is virtually absent. In this paper, we aim at filling this gap in the literature by analyzing what determines export survival using firm-level data for the whole population of Peruvian new exporters over the period 2000-2006. In particular, we address one question: Does it matter how firms diversify? We find that geographical diversification increases the prob

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