FARVA, a hierarchical factor regression model, lets the mean and covariance of verbal autopsy symptoms depend on cause and covariates, and predicts cause of death and cause-specific mortality fractions more accurately than existing methods in the paper's validation experiments.
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Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data
FARVA, a hierarchical factor regression model, lets the mean and covariance of verbal autopsy symptoms depend on cause and covariates, and predicts cause of death and cause-specific mortality fractions more accurately than existing methods in the paper's validation experiments.