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Performance of InterVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards, Population Health Metrics. 2011; 9:50.
[Co-authors: R. Lozano, M. Freeman, S. James, B. Campbell, A. Lopez, C. Murray, the Population Health Metrics Research Consortium (PHMRC)]
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Random forests for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards, Population Health Metrics. 2011; 9:29.
[Co-authors: A. Vahdatpour, S. Green, S. James, C. Murray, the Population Health Metrics Research Consortium (PHMRC)]
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Direct estimation of cause-specific mortality fractions from verbal autopsies: multisite validation study using clinical diagnostic gold standards, Population Health Metrics. 2011; 9:35.
[Co-authors: A. Vahdatpour, S. James, J. Birnbaum, C. Murray, the Population Health Metrics Research Consortium (PHMRC)]
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Robust metrics for assessing the performance of different verbal autopsy cause assignment methods in validation studies, Population Health Metrics. 2011; 9:28.
[Co-authors: C. Murray, R. Lozano, A. Vahdatpour, A. Lopez]
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Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets, Population Health Metrics 2011; 9:27.
[Co-authors: C. Murray, A. Lopez, R. Black, R. Ahuja, S. Ali, A. Baqui, L. Dandona, E. Dantzer, V. Das, U. Dhingra, A. Dutta, W. Fawzi, et al.]
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Performance of physician-certified verbal autopsies: multisite validation study using clinical diagnostic gold standards, Population Health Metrics 2011; 9:32.
[Co-authors: R. Lozano, A. Lopez, C. Atkinson, M. Naghavi, C. Murray, the Population Health Metrics Research Consortium (PHMRC)]
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Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies, Population Health Metrics, 2011; 9:35.
[Co-authors: S. James, C. Murray, The Population Health Metrics Research Consortium (PHMRC)]
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Machine Learning Methods for Verbal Autopsy in Developing Countries, AAAI Spring Symposium on Artificial Intelligence for Development (AI-D) (2010).
[Co-authors: S. Green]