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Verbal autopsies (VAs) are extensively used to investigate the population-level distributions of deaths by cause in low-resource settings without well-organized vital statistics systems. Computer-based methods are often adopted to assign…

Applications · Statistics 2024-03-20 Tsuyoshi Kunihama , Zehang Richard Li , Samuel J. Clark , Tyler H. McCormick

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 cause, limiting our ability to understand disease…

Applications · Statistics 2018-11-28 Tsuyoshi Kunihama , Zehang Richard Li , Samuel J. Clark , Tyler H. McCormick

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 cause assigned. Verbal autopsy (VA) is a well-established tool…

Methodology · Statistics 2023-06-26 Zehang Richard Li , Zhenke Wu , Irena Chen , Samuel J. Clark

In regions without complete-coverage civil registration and vital statistics systems there is uncertainty about even the most basic demographic indicators. In such areas the majority of deaths occur outside hospitals and are not recorded.…

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) to a death by using information describing the events…

Other Statistics · Statistics 2015-04-10 Samuel J. Clark , Tyler McCormick , Zehang Li , Jon Wakefield

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 gather information on deaths in practice. A VA consists of…

Methodology · Statistics 2021-12-22 Zhenke Wu , Zehang Richard Li , Irena Chen , Mengbing Li

Cause-of-death data is fundamental for understanding population health trends and inequalities as well as designing and evaluating public health interventions. A significant proportion of global deaths, particularly in low- and…

Applications · Statistics 2025-02-04 Yu Zhu , Zehang Richard Li

Monitoring cause-of-death data is an important part of understanding disease burdens and effects of public health interventions. Verbal autopsy (VA) is a well-established method for gathering information about deaths outside of hospitals by…

Methodology · Statistics 2025-06-17 Yu Zhu , Zehang Richard Li

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 individuals when deaths happen outside of hospitals or…

Applications · Statistics 2018-11-16 Samuel J. Clark , Zehang Li , Tyler H. McCormick

In low-resource settings where vital registration of death is not routine it is often of critical interest to determine and study the cause of death (COD) for individuals and the cause-specific mortality fraction (CSMF) for populations.…

Applications · Statistics 2022-07-27 Kelly R. Moran , Elizabeth L. Turner , David Dunson , Amy H. Herring

Verbal autopsy (VA) is a survey-based tool widely used to infer cause of death (COD) in regions without complete-coverage civil registration and vital statistics systems. In such settings, many deaths happen outside of medical facilities…

Applications · Statistics 2022-10-04 Zehang Richard Li , Jason Thomas , Eungang Choi , Tyler H. McCormick , Samuel J. Clark

Verbal autopsy procedures are widely used for estimating cause-specific mortality in areas without medical death certification. Data on symptoms reported by caregivers along with the cause of death are collected from a medical facility, and…

Methodology · Statistics 2008-08-06 Gary King , Ying Lu

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 in many parts of the developing world deaths are neither…

Verbal autopsy (VA) is a critical tool for estimating causes of death in resource-limited settings where medical certification is unavailable. This study presents LA-VA, a proof-of-concept pipeline that combines Large Language Models (LLMs)…

Computation and Language · Computer Science 2025-09-12 Yiqun T. Chen , Tyler H. McCormick , Li Liu , Abhirup Datta

Learning dependence relationships among variables of mixed types provides insights in a variety of scientific settings and is a well-studied problem in statistics. Existing methods, however, typically rely on copious, high quality data to…

Applications · Statistics 2019-07-25 Zehang Richard Li , Tyler H. McCormick , Samuel J. Clark

In most of the world, causes of death are not recorded. Verbal autopsies are structured interviews with people close to the deceased, which are used to estimate the likelihood of various causes of death. Such estimates typically make use of…

Methodology · Statistics 2025-10-14 Nathan Higgins , James Liley , Eilidh Cowan

The literature comparing the performance of algorithms for assigning cause of death using verbal autopsy data is fractious and does not reach a consensus on which algorithms perform best, or even how to do the comparison. This manuscript…

Applications · Statistics 2018-02-23 Samuel J. Clark

A Verbal Autopsy is the record of an interview about the circumstances of an uncertified death. In developing countries, if a death occurs away from health facilities, a field-worker interviews a relative of the deceased about the…

Computation and Language · Computer Science 2014-02-19 Samuel Danso , Eric Atwell , Owen Johnson

Sequential experimental design to discover interventions that achieve a desired outcome is a key problem in various domains including science, engineering and public policy. When the space of possible interventions is large, making an…

Machine Learning · Computer Science 2023-08-17 Jiaqi Zhang , Louis Cammarata , Chandler Squires , Themistoklis P. Sapsis , Caroline Uhler

Causal discovery is crucial for understanding complex systems and informing decisions. While observational data can uncover causal relationships under certain assumptions, it often falls short, making active interventions necessary. Current…

Machine Learning · Computer Science 2024-06-18 Yuxuan Wang , Mingzhou Liu , Xinwei Sun , Wei Wang , Yizhou Wang
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