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20072021
most citedProbabilistic projections of HIV prevalence using Bayesian melding

112 citations · 301 across the 20 of their papers we have counts for

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15 papers · 1 filter

stat.AP2021★ 1 cited

The openVA Toolkit for Verbal Autopsies

Zehang Richard Li, Jason Thomas, Eungang Choi +2

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 s…

stat.AP2020★ 4 cited

Space-Time Smoothing of Survey Outcomes using the R Package SUMMER

Zehang Richard Li, Bryan D Martin, Tracy Qi Dong +5

The increasing availability of complex survey data, and the continued need for estimates of demographic and health indicators at a fine spatial and temporal scale, which leads to i…

stat.AP2019★ 1 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.AP2018★ 13 cited

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.AP2018★ 7 cited

A Guide to Comparing the Performance of VA Algorithms

Samuel J. Clark

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 perfor…

stat.AP2017

Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies

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

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…

stat.AP2016★ 1 cited

A General Age-Specific Mortality Model with An Example Indexed by Child or Child/Adult Mortality

Samuel J. Clark

BACKGROUND. The majority of countries in Africa and nearly one third of all countries require mortality models to infer complete age schedules of mortality, required for population…

stat.AP2016

Probabilistic Population Projections for Countries with Generalized HIV/AIDS Epidemics

David J. Sharrow, Jessica Godwin, Yanjun He +2

The United Nations (UN) issued official probabilistic population projections for all countries to 2100 in July 2015. This was done by simulating future levels of total fertility an…

stat.AP2016★ 71 cited

Space-time smoothing of complex survey data: Small area estimation for child mortality

Laina D. Mercer, Jon Wakefield, Athena Pantazis +3

Many people living in low- and middle-income countries are not covered by civil registration and vital statistics systems. Consequently, a wide variety of other types of data, incl…

stat.AP2015★ 8 cited

A Singular Value Decomposition-based Factorization and Parsimonious Component Model of Demographic Quantities Correlated by Age: Predicting Complete Demographic Age Schedules with Few Parameters

Samuel J. Clark

BACKGROUND. Formal demography has a long history of building simple models of age schedules of demographic quantities, e.g. mortality and fertility rates. These are widely used in…

stat.AP2014★ 4 cited

Probabilistic Cause-of-death Assignment using Verbal Autopsies

Tyler H. McCormick, Zehang Li, Clara Calvert +3

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 majori…

stat.AP2014★ 37 cited

Clustering South African households based on their asset status using latent variable models

Damien McParland, Isobel Claire Gormley, Tyler H. McCormick +3

The Agincourt Health and Demographic Surveillance System has since 2001 conducted a biannual household asset survey in order to quantify household socio-economic status (SES) in a…

stat.AP2013★ 8 cited

Bayesian Reconstruction of Two-Sex Populations by Age: Estimating Sex Ratios at Birth and Sex Ratios of Mortality

Mark C. Wheldon, Adrian E. Raftery, Samuel J. Clark +1

The original version of Bayesian reconstruction, a method for estimating age-specific fertility, mortality, migration and population counts of the recent past with uncertainty, pro…

stat.AP2007★ 112 cited

Probabilistic projections of HIV prevalence using Bayesian melding

Leontine Alkema, Adrian E. Raftery, Samuel J. Clark

The Joint United Nations Programme on HIV/AIDS (UNAIDS) has developed the Estimation and Projection Package (EPP) for making national estimates and short-term projections of HIV pr…