Optimal schedules of cancer surveillance and tumor size at detection
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Publication:5951039
DOI10.1016/S0895-7177(01)80023-6zbMath0979.92020MaRDI QIDQ5951039
Andrej Yu. Yakovlev, Leonid G. Hanin, Alexander D. Tsodikov
Publication date: 2 January 2002
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Signal detection and filtering (aspects of stochastic processes) (60G35) Medical applications (general) (92C50)
Related Items (4)
Identifiability of the joint distribution of age and tumor size at detection in the presence of screening ⋮ Nonparametric versus Parametric Estimation of the Cure Fraction Using Interval Censored Data ⋮ Multivariate distributions of clinical covariates at the time of cancer detection ⋮ Modeling cancer detection: Tumor size as a source of information on unobservable stages of carcinogenesis
Cites Work
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- On estimating the growth function of tumors
- Two-event models for carcinogenesis: Incidence curves for childhood and adult tumors
- On the optimal policies of cancer screening
- A diversity of responses displayed by a stochastic model of radiation carcinogenesis allowing for cell death
- Identifiability of parameters in the Yakovlev-Polig model of carcinogenesis
- Optimal scheduling of examinations for the early detection of disease
- Kantorovich-Rubinstein Norm and Its Application in the Theory of Lipschitz Spaces
- Calculation of the Wasserstein Distance Between Probability Distributions on the Line
- Towards models of screening for early detection of disease
- A Stochastic Model of Carcinogenesis and Tumor Size at Detection
- Timing medical examinations via intensity functions
- Planning clinical trials to evaluate early detection programmes
- Discrete Strategies of Cancer Post-Treatment Surveillance. Estimation and Optimization Problems
- Optimal Scheduling of Fallible Inspections
- A distribution of tumor size at detection and its limiting form.
- On Optimal Screening Ages
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