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Current Trends in Bayesian Methodology with Applications
book

Current Trends in Bayesian Methodology with Applications

by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan
May 2015
Intermediate to advanced content levelIntermediate to advanced
680 pages
22h 33m
English
Chapman and Hall/CRC
Content preview from Current Trends in Bayesian Methodology with Applications
Multi-State Models for Disease Natural History 387
18.5 Discussion
Natural histor y of disease can be modeled using a variety of appr oaches that
fall under the general framework of multi-state models , including Markov pro -
cesses, nonhomogeneous Markov processe s, semi-Markov processes, and hid-
den Markov processes. Simple a pproaches such as the Markov process facili-
tate estimation but make use of strong assumptions that may b e unrealis tic
for certain diseases. More complex models such as se mi- Markov processes may
more accurately describe the disease proces s, but at the cost of substantially
complicating estimation, especially when data
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Publisher Resources

ISBN: 9781482235128