2025
Zhu Y. and Z.R. Li. (2025). Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data. arXiv Preprint arXiv:2502.00171. [ DOI ]
Zhu Y. and Z.R. Li. (2025). Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift. arXiv Preprint arXiv:2505.02257. [ DOI ]
2024
Chu Y., M. Marston, A. Dube, C. Festo, E. Geubbels, S. Gregson, K. Herbst, C. Kabudula, K. Kahn, T. Lutalo, L. Moorhouse, R. Newton, C. Nyamukapa, R. Makenga, E. Slaymaker, M. Urassa, A. Ziraba, C. Calvert and S.J. Clark. (2024). Temporal Changes in Cause of Death among Adolescents and Adults in Six Countries in Eastern and Southern Africa: a Multi-Country Cohort Study using Verbal Autopsy Data. Lancet Global Health 12:e1278-87. [ DOI ]
Fan S., A. Visokay, K. Hoffman, S. Salerno, L. Liu, J.T. Leek and T.H. McCormick. (2024). From Narratives to Numbers: Valid Inference using Language Model Predictions from Verbal Autopsy Narratives. arXiv Preprint arXiv:2404.02438. [ DOI ]
Houle, B., C.W. Kabudula, S.A. Mojola, N. Angotti, F.X. Gómez-Olivé, D. Gareta, K. Herbst, S.J. Clark, J. Menken, and V. Canudas-Romo (2024). Mortality Variability and Differentials By Age and Causes of Death in Rural South Africa, 1994–2018. BMJ Global Health. 9:e013539. [ DOI ]
Kunihama T., Z.R. Li, S.J. Clark and T.H. McCormick. (2024). Bayesian Analysis of Verbal Autopsy Data Using Factor Models with Age- And Sex-Dependent Associations Between Symptoms. arXiv Preprint arXiv:2403.12288. [ DOI ]
Li Z.R., Z. Wu, I. Chen and S.J. Clark. (2024). Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains. Annals of Applied Statistics 18(2):1137. [ DOI ]
Morrison L., E. Brown, C.R. Paganelli, N. Goco, T. McCormick and others. (2024). Enhancing Verbal Autopsy with MITS: Cost Trade-off Study. Gates Open Research 8(40):40. [ DOI ]
Wu Z., Z.R. Li, I. Chen and M. Li. (2024). Tree-Informed Bayesian Multi-Source Domain Adaptation: Cross-Population Probabilistic Cause-of-Death Assignment using Verbal Autopsy. Biostatistics 25(4):1233-1253. [ DOI ]
Zhu Y. and Z.R. Li. (2024). Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies. arXiv Preprint arXiv:2410.09274. [ DOI ]
2023
Fan S., L. Liu, J. Perin and T.H. McCormick. (2023). Bayesian Age Category Reconciliation for Age-and Cause-Specific Under-Five Mortality Estimates. arXiv Preprint arXiv:2302.11058. [ DOI ]
Groenewald P., J. Thomas, S.J. Clark, D. Morof, J. Joubert, C.W. Kabudula, Z. Li and D.{. Team}. (2023). Agreement Between Cause of Death Assignment by Computer-Coded Verbal Autopsy Methods and Physician Coding of Verbal Autopsy Interviews in South Africa. Global Health Action 16(2285105):1-13. [ DOI ]
Li Z.R., J. Thomas, E. Choi, T.H. McCormick and S.J. Clark. (2023). The openVA Toolkit for Verbal Autopsies. The R Journal. [ URL ]
2022
Li Z.R., J. Thomas, E. Choi, T.H. McCormick and S.J. Clark. (2022). The openVA Toolkit for Verbal Autopsies. arXiv Preprint arXiv:2109.08244. [ DOI ]
Nichols E., K. Pettrone, B. Vickers, H. Gebrehiwet, C. Surek-Clark, J. Leitao, A. Amouzou, D.M. Blau, D. Bradshaw, E.M. Abdelilah and others. (2022). Mixed-Methods Analysis of Select Issues Reported in The 2016 World Health Organization Verbal Autopsy Questionnaire. Plos One. 17(10):e0274304. [ DOI ]
Perin J., Y. Chu, F. Villaviciencio, A. Schumacher, T. McCormick, M. Guillot and L. Liu. (2022). Adapting and Validating the log Quadratic Model to Derive under-Five Age-and Cause-Specific Mortality (U5ACSM): a Preliminary Analysis. Population Health Metrics 20:1-12. [ DOI ]
Schumacher A.E., T.H. McCormick, J. Wakefield, Y. Chu, J. Perin, F. Villavicencio, N. Simon and L. Liu. (2022). A Flexible Bayesian Framework to Estimate Age-and Cause-Specific Child Mortality over Time from Sample Registration Data. The Annals of Applied Statistics 16(1):124. [ DOI ]
Yoshida T., T.S. Fan, T. McCormick, Z. Wu and Z.R. Li. (2023). Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal Autopsies. arXiv Preprint arXiv.2302.08099. [ DOI ]
2021
Chandramohan D., E. Fottrell, J. Leitao, E. Nichols, D.C. Clark, C. AbouZahr, A. Di Pasquale, R. Mswia, E. Choi, F. Baiden, J. Thomas, I. Lyatuu, Z. Li, P. Larbi-Debrah, Y. Chu, S. Cheburet, O. Sankoh, A.M. Badr, D.M. Fat, P. Setel, R. Jakob and D. de Savigny. (2021). Estimating Causes of Death Where There is No Medical Certification: Evolution and State of the Art of Verbal Autopsy. Global Health Action 14(sup1). [ DOI ]
Clark S.J. (2021). Health and Demographic Surveillance Systems and the 2030 Agenda: Sustainable Development Goals. arXiv Preprint arXiv:2103.03910. [ DOI ]
Herbst K., S. Juvekar, M. Jasseh, Y. Berhane, {.T. }Chuk, J. Seeley, O. Sankoh, S.J. Clark and M.A. Collinson. (2021). Health and Demographic Surveillance Systems in Low- And Middle-Income Countries: History, State of the Art and Future Prospects. Global Health Action 14(sup1). [ DOI ]
Li Z.R., Z. Wu, I. Chen and S.J. Clark. (2021). Bayesian Nested Latent Class Models for Cause-of-Death Assignment using Verbal Autopsies Across Multiple Domains. arXiv Preprint arXiv:2112.12186. [ DOI ]
2020
Calvert C., M. Marston, E. Slaymaker, A.C. Crampin, A. Price, N. Klein, K. Herbst, D. Michael, M. Urassa, S.J. Clark, C. Ronsmans and G. Reniers. (2020). Direct Maternal Deaths Attributable to HIV in the Era of ART: Evidence from Three Population-Based HIV Cohorts with Verbal Autopsy. AIDS 34(9):1397-1405. [ DOI ]
Kunihama T., Z.R. Li, S.J. Clark and T.H. McCormick. (2020). Bayesian Factor Models for Probabilistic Cause of Death Assessment with Verbal Autopsies. Annals of Applied Statistics 14(1):241-256. [ DOI ]
Li Z., T.H. McCormick and S.J. Clark. (2020). Non-Confirming Replication of 'Performance of InSilicoVA for Assigning Causes of Death to Verbal Autopsies: Multisite Validation Study using Clinical Diagnostic Gold Standards', BMC Medicine 2018; 16:56. BMC Medicine 18(69). [ DOI ]
Li Z., T.H. McCormcick and S.J. Clark. (2020). Using Bayesian Latent Gaussian Graphical Models to Infer Symptom Associations in Verbal Autopsies. Bayesian Analysis 15(3):781-807. [ DOI ]
Surek-Clark C. (2020). Verbal Autopsy Interview Standardization Study. The Anthropological Demography of Health Pp. 301-319. [ URL ]
Wang S., T.H. McCormick and J.T. Leek. (2020). Post-Prediction Inference. BioRxiv :2020-01. [ DOI ]
Wang S., T.H. McCormick and J.T. Leek. (2020). Methods for Correcting Inference Based on Outcomes Predicted by Machine Learning. Proceedings of the National Academy of Sciences 117(48):30266-30275. [ DOI ]
2019
Byass P., L. Hussain-Alkhateeb, L. D'Ambruoso, S.J. Clark, J. Davies, E. Fottrell, J. Bird, C. Kabudula, S. Tollman, K. Kahn, L. Schioler and M. Petzold. (2019). An Integrated Approach to Processing WHO-2016 Verbal Autopsy Data: The InterVA-5 Model. BMC Medicine 17(102). [ DOI ]
Clark S.J., M. Bratschi, P. Setel, C. Abouzahr, D. de Savigny, Z.R. Li, T.H. McCormick, P. Byass and D. Chandramohan. (2019). Verbal Autopsy in Civil Registration and Vital Statistics: The Symptom-Cause Information Archive. arXiv Preprint arXiv:1910.00405. [ DOI ]
Jha P., D. Kumar, R. Dikshit, A. Budukh, R. Begum, P. Sati, P. Kolpak, R. Wen, S.J. Raithatha, U. Shah, Z.R. Li, L. Aleksandrowicz, P. Shah, K. Piyasena, T.H. MccCormick, H. Gelband and S.J. Clark. (2019). Automated Versus Physician Assignment of Cause of Death for Verbal Autopsies: Randomized Trial of 9374 Deaths in 117 Villages in India. BMC Medicine 17(116). [ DOI ]
Li Z.R. and T.H. McCormick. (2019). An Expectation Conditional Maximization Approach for Gaussian Graphical Models. Journal of Computational and Graphical Statistics 28(4):767-777. [ DOI ]
Li Z.R. T.H. McCormick and S.J. Clark. (2019). Bayesian Joint Spike-and-Slab Graphical Lasso. arXiv Preprint arXiv:1805.07051. [ DOI ]
Li Z.R., T.H. McCormick, T. Kunihama and S.J. Clark. (2019). Using Bayesian Latent Gaussian Graphical Models to Infer Symptom Associations in Verbal Autopsies. arXiv Preprint arXiv:1711.00877. [ DOI ]
Li Z.R., T.H. McCormick, and S.J. Clark. (2019). Bayesian Joint Spike-and-Slab Graphical Lasso. Proceedings of the 36th International Conference on Machine Learning. [ URL ]
2018
Clark S.J. and T.H. McCormick. (2018). Quantifying the Contributions of Training Data and Algorithm Logic to the Performance of Automated Cause-Assignment Algorithms for Verbal Autopsy. arXiv Preprint arXiv:1803.07141v2. [ DOI ]
Clark S.J. (2018). A Guide to Comparing the Performance of VA Algorithms. arXiv Preprint arXiv:1802.07807. [ DOI ]
Kunihama T., Z.R. Li, S.J. Clark and T.H. McCormick. (2018). Bayesian Factor Models for Probabilistic Cause of Death Assessment with Verbal Autopsies. arXiv Preprint arXiv:1803.01327. [ DOI ]
Nichols E.K., P. Byass, D. Chandramohan, S.J. Clark, A.D. Flaxman, R. Jakob, J. Leitao, N. Maire, C. Rao, I. Riley and P. Setel. (2018). The WHO 2016 Verbal Autopsy Instrument: An International Standard Suitable for Automated Analysis by InterVA, InsilicoVA, and Tariff 2.0. PLoS Medicine 15(1):e1002486. [ DOI ]
2017
Reniers G., S. Blom, J. Lieber, A.J. Herbst, C. Calvert, J. Bor, T. Barnighausen, B. Zaba, Z. Li, S.J. Clark, A. Grant, R. Lessells, J.W. Eaton and V. Hosegood. (2017). Tuberculosis Mortality and the Male Survival Deficit in Rural South Africa: An Observational Community Cohort Study. PLoS One 12(10):e0185692. [ DOI ]
2016
McCormick T.H., Z.R. Li, C. Calvert, A.C. Crampin, K. Kahn and S.J. Clark. (2016). Probabilistic Cause-of-Death Assignment using Verbal Autopsies. Journal of the American Statistical Association 111(515):1036-1049. [ DOI ]
2015
Clark S.J., J. Wakefield, T. McCormick and M. Ross. (2015). Hyak Mortality Monitoring System: Innovative Sampling and Estimation Methods-Proof of Concept by Simulation. arXiv Preprint arXiv:1504.02124. [ DOI ]
McCormick T.H., Z.R. Li, C. Calvert, A.C. Crampin, K. Kahn and S.J. Clark. (2015). Probabilistic Cause-of-Death Assignment using Verbal Autopsies. arXiv Preprint arXiv:1411.3042. [ DOI ]
2014
Li Z. and S.J. Clark. (2014). InterVA4: An R Package to Analyze Verbal Autopsy Data. Center for Statistics and the Social Sciences (CSSS) Working Paper Series (146). [ URL ]
2013
Clark S.J., T. McCormick, Z. Li and J. Wakefield. (2013). InSilicoVA: A Method to Automate Cause of Death Assignment for Verbal Autopsy. Center for Statistics and the Social Sciences (CSSS) Working Paper Series (133). [ URL ]