Use of the gibbs sampler to estimate transition rates between grades of coronary disease following cardiac transplantation

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Abstract
Coronary occlusive disease following cardiac transplantation is monitored using serial angiography, and graded on a 3 point scale according to the amount of narrowing observed in major vessels. Disease progression is modelled as a continuous time Markov process. The Gibbs sampler is used to estimate the marginal posterior distributions of the transition rates between grades of disease and from each grade to death.