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Showing 2011 · stat.MEShow all
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stat.ME2011
Proximity penalty priors for Bayesian mixture models
Matthew Sperrin
When using mixture models it may be the case that the modeller has a-priori beliefs or desires about what the components of the mixture should represent. For example, if a mixture…
stat.ME2011
Modelling time to event with observations made at arbitrary times
Matthew Sperrin, Iain Buchan
We introduce new methods of analysing time to event data via extended versions of the proportional hazards and accelerated failure time (AFT) models. In many time to event studies,…