Bias in Markov models of disease

DOI10.1016/J.MBS.2009.05.005zbMath1168.92024OpenAlexW2153452603WikidataQ51819251 ScholiaQ51819251MaRDI QIDQ839158

Paul M. Griffin, Daniel M. Faissol, Julie L. Swann

Publication date: 1 September 2009

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2009.05.005

zbMATH Keywords

Monte Carlo simulationbiasMarkov model

Mathematics Subject Classification ID

Monte Carlo methods (65C05) 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)

Cites Work

• Timing of testing and treatment for asymptomatic diseases
• Iterative aggregation/disaggregation methods for computing some characteristics of Markov chains. II: Fast convergence
• The Optimal Timing of Living-Donor Liver Transplantation
• The Kullback–Leibler Divergence Rate Between Markov Sources
• Estimating and interpolating a Markov chain from aggregate data

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