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Compartmental models and competing risk
Mathematical Biosciences, 1994General compartmental models are derived using competing risk arguments. When the risk variables are exponential, the results specialize to the standard stationary Markov compartmental model. Iterative methods of solving the fundamental integral equation are given, and the uniqueness of the solution is incidentally established. The analysis is extended
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Competing Risks in Low-Risk Breast Cancer
American Society of Clinical Oncology Educational Book, 2013In recent years a growing amount of data on prognostic features of breast cancer has allowed for identification of tumors with a very low risk of recurrence. Markers used to predict the risk of distant spread include classic clinicopathologic features as well as newer tumor gene signatures, which have been validated and are being used in cohorts of ...
Kathrin, Strasser-Weippl, Paul E, Goss
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Identifiability Crises in Competing Risks
International Statistical Review / Revue Internationale de Statistique, 1994Summary: Difficulties and pitfalls of dependency modelling in Statistics are very well illustrated by problems of identifiability in Competing Risks. This paper gives a review of such problems with examples intended to animate the theoretical results. The problems covered arise through the traditional way of modelling Competing Risks via latent failure
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Competing Risks and Time‐Dependent Covariates
Biometrical Journal, 2010AbstractTime‐dependent covariates are frequently encountered in regression analysis for event history data and competing risks. They are often essential predictors, which cannot be substituted by time‐fixed covariates. This study briefly recalls the different types of time‐dependent covariates, as classified by Kalbfleisch and Prentice [The Statistical
CORTESE, GIULIANA, Andersen P. K.
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Competing approaches to analysis of failure times with competing risks
Statistics in Medicine, 2001AbstractFor the analysis of time to event data in contraceptive studies when individuals are subject to competing causes for discontinuation, some authors have recently advocated the use of the cumulative incidence rate as a more appropriate measure to summarize data than the complement of the Kaplan–Meier estimate of discontinuation. The former method
T M, Farley, M M, Ali, E, Slaymaker
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On the mathematics of competing risks.
Vital and health statistics. Series 2, Data evaluation and methods research, 1979Translation from Vital and Health statistics: Series 2, Data Evaluation and Methods Research, No.77 (1979; Zbl 0396.62077).
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Survival Analysis with Competing Risks and Semi-competing Risks Data
2017Competing risks data arise when study subjects are subject to multiple types of failure events. The competing risks events are terminating, in that the onset of one event precludes the observation of other events. Semi-competing risks data involve a nonterminating event and a terminating event.
Ruosha Li, Limin Peng
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An Introduction to Competing Risks Analysis
Revista Española de Cardiología (English Edition), 2011The need to develop treatments and/or programs specific to a disease requires the analysis of outcomes to be specific to that disease. Such endpoints as heart failure, death due to a specific disease, or control of local disease in cancer may become impossible to observe due to a prior occurrence of a different type of event (such as death from another
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COMPETING RISK MODELING IN RELIABILITY
2005This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research.
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