Raking mortality rates across cause, population group and geography with variance estimation
Raking adjusts observations in contingency tables to match known marginals, reconciling estimates across models with different granularities in survey inference and global health. A key use case is the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), which estimates mortality rates and other health me...