A Markov model for analyzing the evolution of bladder carcinoma

DOI10.1016/J.MCM.2008.12.019zbMath1185.92065OpenAlexW1985875685MaRDI QIDQ969943

Enrique Navarro, Belén García-Mora, Cristina Santamaría, Gregorio Rubio

Publication date: 8 May 2010

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2008.12.019

zbMATH Keywords

phase-type distributionsurvival function\texttt{Matlab}transition intensitybladder carcinoma

Mathematics Subject Classification ID

Medical applications (general) (92C50) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (2)

Modeling bladder cancer using a Markov process with multiple absorbing states ⋮ A general piecewise multi-state survival model: application to breast cancer

Uses Software

• Matlab

Cites Work

• Cox's regression model for counting processes: A large sample study
• A predictive mathematical model in the recurrence of bladder cancer
• Modelling the recurrence of bladder cancer
• Modeling the recurrence-progression process in bladder carcinoma
• On the regression analysis of multivariate failure time data
• A Multiple-Absorbent Markov Process in Survival Studies: Application to Breast Cancer
• A Simplex Method for Function Minimization
• Statistical models based on counting processes
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