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C
Carrillo-Larco, RM and Bernabe-ortiz, A (2018). Raw data for: "A divergence between underlying and final causes of death in selected conditions: an analysis of death registries in Peru". [Data Collection]. PeerJ. https://doi.org/10.7717/peerj.5948/supp-2
Clark, S, Calvert, C, Marston, M and Chu, Y (2022). Verbal Autopsy:Reimagining data and automated cause assignment (using ALPHA network data). [Data Collection]. Africa Health Research Institute. https://data.ahri.org/index.php/catalog/1030/
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Karat, AS, Omar, T, von Gottberg, A, Tlali, M, Chihota, VN, Churchyard, GJ, Fielding, KL, Johnson, S, Martinson, NA, McCarthy, K, Wolter, N, Wong, EB, Charalambous, S and Grant, AD (2016). Autopsy Prevalence of Tuberculosis and Other Potentially Treatable Infections among Adults with Advanced HIV Enrolled in Out-Patient Care in South Africa: Lesedi Kamoso study data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.122.
Karat, A, Tlali, M, Fielding, K, Charalambous, S, Chihota, VN, Churchyard, GJ, Hanifa, Y, Johnson, S, McCarthy, K, Martinson, NA, Omar, T, Kahn, K, Chandramohan, D and Grant, AD (2016). Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: comparing verbal autopsy, minimally-invasive autopsy, and research data. Data from the Lesedi Kamoso study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.169.
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Miasnikof, P, Giannakeas, V, Gomes, M, Aleksandrowicz, L, Shestopaloff, AY, Alam, D, Tollman, S, Samarikhalaj, A and Jha, P (2015). Naive Bayes classifiers for verbal autopsies: comparison to physician-based classification for 21,000 child and adult deaths. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.c.3629489_D1.v1
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Nigri, A, Aburto, JM, Basellini, U and Bonetti, M (2022). Code: Evaluation of age-specific causes of death in the context of the Italian longevity transition. [Data Collection]. OSF. https://osf.io/yr92s/?view_only=a899e63ae7274374b23aecd457edf425