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20192022
most citedBayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains

2 citations · 3 across the 4 of their papers we have counts for

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Showing 2021Show all

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stat.ME2021★ 1 cited

Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy

Zhenke Wu, Zehang Richard Li, Irena Chen +1

Determining causes of deaths (COD) occurred outside of civil registration and vital statistics systems is challenging. A technique called verbal autopsy (VA) is widely adopted to g…

stat.ME2021★ 2 cited

Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains

Zehang Richard Li, Zhenke Wu, Irena Chen +1

Understanding cause-specific mortality rates is crucial for monitoring population health and designing public health interventions. Worldwide, two-thirds of deaths do not have a ca…