Skip to content

sinafala/model-va-algorithms

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
Rmd
 
 
 
 
 
 

Model Verbal Autopsy (VA) Algorithms

Just the core logic of VA algorithms in R. Presented in an RStudio R Markdown file.

For pedagogical purposes only. Real-world algorithm implemenations include significant additional functionality to ensure data quality, and they also work with far more symptoms and causes. As a result, real world algorithm performance may be significantly different from the model algorithms presented here.

References:

NBC

Miasnikof, P., Giannakeas, V., Gomes, M., Aleksandrowicz, L., Shestopaloff, A. Y., Alam, D., ... & Jha, P. (2015). Naive Bayes classifiers for verbal autopsies: comparison to physician-based classification for 21,000 child and adult deaths. BMC medicine, 13(1), 286.

InterVA

Byass, P., Chandramohan, D., Clark, S. J., D'ambruoso, L., Fottrell, E., Graham, W. J., ... & Krishnan, A. (2012). Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool. Global health action, 5(1), 19281.

InSilicoVA

McCormick, T. H., Li, Z. R., Calvert, C., Crampin, A. C., Kahn, K., & Clark, S. J. (2016). Probabilistic cause-of-death assignment using verbal autopsies. Journal of the American Statistical Association, 111(515), 1036-1049.

Tariff

James, S. L., Flaxman, A. D., & Murray, C. J. (2011). Performance of the Tariff Method: validation of a simple additive algorithm for analysis of verbal autopsies. Population Health Metrics, 9(1), 31.

About

Just core logic of VA algorithms in R

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages