• Corpus ID: 244714196

Bayesian multistate modelling of incomplete chronic disease burden data

@inproceedings{Jackson2021BayesianMM,
  title={Bayesian multistate modelling of incomplete chronic disease burden data},
  author={Christopher Jackson and Bel{\'e}n Zapata-Diomedi and James Woodcock},
  year={2021}
}
A widely-used model for determining the long-term health impacts of public health interventions, often called a “multistate lifetable”, requires estimates of incidence, case fatality, and sometimes also remission rates, for multiple diseases by age and gender. Generally, direct data on both incidence and case fatality are not available in every disease and setting. For example, we may know population mortality and prevalence rather than case fatality and incidence. This paper presents Bayesian… 

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