Using verbal autopsy to measure causes of death: the comparative performance of existing methods

@article{Murray2014UsingVA,
  title={Using verbal autopsy to measure causes of death: the comparative performance of existing methods},
  author={C. Murray and R. Lozano and A. Flaxman and Peter T. Serina and D. Phillips and Andrea Stewart and S. James and Alireza Vahdatpour and C. Atkinson and Michael K Freeman and S. L. Ohno and R. Black and S. Ali and A. Baqui and L. Dandona and E. Dantzer and G. Darmstadt and V. Das and U. Dhingra and A. Dutta and W. Fawzi and Sara G{\'o}mez and B. Hernandez and R. Joshi and H. Kalter and Aarti Kumar and Vishwajeet Kumar and M. Lucero and S. Mehta and B. Neal and D. Praveen and Z. Premji and Dolores Ram{\'i}rez-Villalobos and Hazel Remolador and I. Riley and M. Romero and Mwanaidi Said and D. Sanvictores and S. Sazawal and V. Tallo and Alan D. Lopez},
  journal={BMC Medicine},
  year={2014},
  volume={12},
  pages={5 - 5}
}
BackgroundMonitoring progress with disease and injury reduction in many populations will require widespread use of verbal autopsy (VA). Multiple methods have been developed for assigning cause of death from a VA but their application is restricted by uncertainty about their reliability.MethodsWe investigated the validity of five automated VA methods for assigning cause of death: InterVA-4, Random Forest (RF), Simplified Symptom Pattern (SSP), Tariff method (Tariff), and King-Lu (KL), in… Expand
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The paradox of verbal autopsy in cause of death assignment: symptom question unreliability but predictive accuracy
Robustness of the Tariff method for diagnosing verbal autopsies: impact of additional site data on the relationship between symptom and cause
Probabilistic Cause-of-Death Assignment Using Verbal Autopsies
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