A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data

@article{Schumacher2022AFB,
  title={A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data},
  author={Austin E. Schumacher and Tyler H. McCormick and Jonathan Wakefield and Yue Chu and Jamie Perin and Francisco Villavicencio and Noah Simon and Li Liu},
  journal={The Annals of Applied Statistics},
  year={2022}
}
In order to implement disease-specific interventions in young age groups, policy makers in low- and middle-income countries require timely and accurate estimates of age- and cause-specific child mortality. High quality data is not available in countries where these interventions are most needed, but there is a push to create sample registration systems that collect detailed mortality information. Current methods that estimate mortality from this data employ multistage frameworks without… 

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