This is a reading list for those interested in analyzing verbal autopsy (VA) data. It is by no means a complete collection of work in the VA community, but only a subset of papers that are potentially useful for statisticians. The list is is intended for new researchers starting to work with the openVA team to catch up on background literature.
The list also includes papers from related research areas where similar methodological problems exist, as well as papers on general modeling/computation topics that VA algorithms could potentially benefit from. This page is continuously updated to add new VA work and related areas.
Table of contents
- Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy. Preprint, 2021
- Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains. Preprint, 2021
- Generalized bayes quantification learning under dataset shift. JASA, 2021
- Regularized Bayesian transfer learning for population-level etiological distributions, Biostatistics, 2021
- Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data. JRSSC, 2021
- Bayesian factor models for probabilistic cause of death assessment with verbal autopsies. AOAS, 2020
- Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies. Bayesian Analysis, 2019
- Multi-task learning for interpretable cause of death classification using key phrase prediction. BioNLP, 2018
- An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model. BMC Medicine, 2019
- Probabilistic cause-of-death assignment using verbal autopsies. JASA, 2016
- Naive Bayes classifiers for verbal autopsies: comparison to physician-based classification for 21,000 child and adult deaths. BMC Medicine, 2015
- Improving performance of the Tariff Method for assigning causes of death to verbal autopsies. BMC Medicine, 2015
- Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool. Glocal Health Action, 2012
- Verbal autopsy methods with multiple causes of death. Statistical Science, 2008
- Verbal Autopsy Interview Standardization Study: A report from the field. Book chapter, 2020
- The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0. PLOS Medicine, 2018
- Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets. Population Health Metrics, 2011
- Verbal Autopsy: methods in transition. Epidemiologic Reviews, 2010
- Integrating Sample Similarities into Latent Class Analysis: A Tree-Structured Shrinkage Approach. Biometrics, 2021
- Probabilistic Cause-of-disease Assignment using Case-control Diagnostic Tests: A Hierarchcial Bayesian Latent Variable Regression Approach. Statistics in Medicine, 2020
- A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes. Biometrics, 2020
- Dynamic Topic Models. ICML, 2006
- Correlated Topic Models. NeurIPS, 2005
- Latent Dirichlet Allocation. JMLR, 2003
- Regularized Latent Class Analysis with Application in Cognitive Diagnosis. Psychometrika, 2016
- Latent Variable Selection for Multidimensional Item Response Theory Models via L1 Regularization. Psychometrika, 2016
- Using Stacking to Average Bayesian Predictive Distributions. Baysian Analysis, 2018
- Bayesian conditional tensor factorizations for high-dimensional classification. JASA, 2016
- Bayesian Factorizations of Big Sparse Tensors. JASA, 2015
- Bayesian estimation of discrete multivariate latent structure models with structural zeros. JASA, 2014
- Sentiment Analysis of Online Media Book Chapter, 2013
- Nonparametric Bayes modeling of multivariate categorical data. JASA, 2009
- Bayesian non-negative matrix factorization. ICA, 2009