Analyses of infectious disease data from household outbreaks by Markov chain Monte Carlo methods
The analysis of infectious disease data presents challenges arising from the dependence in the data and the fact that only part of the transmission process is observable. These difficulties are usually overcome by making simplifying assumptions. The paper explores the use of Markov chain Monte Carlo (MCMC) methods for the analysis of infectious disease data, with the hope that they will permit analyses to be made under more realistic assumptions. Two important kinds of data sets are considered,...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of the Royal Statistical Society Series C|
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