Key result
The Gibbs sampler was used to estimate marginal posterior distributions of transition rates between grades of coronary occlusive disease and death following cardiac transplantation.
The Gibbs sampler can be applied to continuous time Markov processes to estimate transition rates for coronary disease progression following cardiac transplantation.
May enable refined modeling of post-transplant coronary progression; leaves open prospective validation before clinical use.
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.
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Linda Sharples (1993) studied Coronary occlusive disease following cardiac transplantation. Gibbs sampler (statistical modeling) was evaluated on Marginal posterior distributions of transition rates between grades of disease and death. The Gibbs sampler was used to estimate marginal posterior distributions of transition rates between grades of coronary occlusive disease and death following cardiac transplantation.
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