activity
20152019
most citedInSilicoVA: A Method to Automate Cause of Death Assignment for Verbal Autopsy

9 citations · 10 across the 2 of their papers we have counts for

collaborators

5 papers

stat.AP20191 cited

Verbal Autopsy in Civil Registration and Vital Statistics: The Symptom-Cause Information Archive

Samuel J. Clark, Martin W. Bratschi, Philip Setel +6

The burden of disease is fundamental to understanding, prioritizing, and monitoring public health interventions. Cause of death is required to calculate the burden of disease, but…

stat.ML2018

Bayesian Joint Spike-and-Slab Graphical Lasso

Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark

In this article, we propose a new class of priors for Bayesian inference with multiple Gaussian graphical models. We introduce fully Bayesian treatments of two popular procedures,…

stat.AP2018

Quantifying the Contributions of Training Data and Algorithm Logic to the Performance of Automated Cause-assignment Algorithms for Verbal Autopsy

Samuel J. Clark, Zehang Li, Tyler H. McCormick

A verbal autopsy (VA) consists of a survey with a relative or close contact of a person who has recently died. VA surveys are commonly used to infer likely causes of death for indi…

stat.AP2018

Bayesian factor models for probabilistic cause of death assessment with verbal autopsies

Tsuyoshi Kunihama, Zehang Richard Li, Samuel J. Clark +1

The distribution of deaths by cause provides crucial information for public health planning, response, and evaluation. About 60% of deaths globally are not registered or given a ca…

stat.OT20159 cited

InSilicoVA: A Method to Automate Cause of Death Assignment for Verbal Autopsy

Samuel J. Clark, Tyler McCormick, Zehang Li +1

Verbal autopsies (VA) are widely used to provide cause-specific mortality estimates in developing world settings where vital registration does not function well. VAs assign cause(s…