• Zehang Richard Li, Tyler H McCormick, and Samuel J Clark.
• Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
• Bmc Med. 2020 Mar 26; 18 (1): 6969.

BackgroundA verbal autopsy (VA) is an interview conducted with the caregivers of someone who has recently died to describe the circumstances of the death. In recent years, several algorithmic methods have been developed to classify cause of death using VA data. The performance of one method-InSilicoVA-was evaluated in a study by Flaxman et al., published in BMC Medicine in 2018. The results of that study are different from those previously published by our group.MethodsBased on the description of methods in the Flaxman et al. study, we attempt to replicate the analysis to understand why the published results differ from those of our previous work.ResultsWe failed to reproduce the results published in Flaxman et al. Most of the discrepancies we find likely result from undocumented differences in data pre-processing, and/or values assigned to key parameters governing the behavior of the algorithm.ConclusionThis finding highlights the importance of making replication code available along with published results. All code necessary to replicate the work described here is freely available on GitHub.

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