Time-varying Markov regression random-effect model with Bayesian estimation procedures: Application to dynamics of functional recovery in patients with stroke

DOI10.1016/j.mbs.2010.06.003zbMath1194.92043OpenAlexW2050060293WikidataQ51682964 ScholiaQ51682964MaRDI QIDQ991537

Hsiu-Hsi Chen, Shin-Liang Pan

Publication date: 7 September 2010

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

Full work available at URL: https://doi.org/10.1016/j.mbs.2010.06.003

zbMATH Keywords

stochastic processesMarkov chain Monte Carloordinary differential equationGibbs samplingcontinuous-time Markov processBayesian directed acyclic graphic model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of graph theory (05C90) 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) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (1)

Likelihood function for estimating parameters in multistate disease process with Laplace-transformation-based transition probabilities

Uses Software

• SAS
• BUGS
• MKVPCI
• SAS macro MARKOV

Cites Work

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