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Mortality forecasts are typically limited in that they pertain only to national death rates, predict only all‐cause mortality or do not capture and utilize the correlation between diseases. We present a novel Bayesian hierarchical model that jointly forecasts cause‐specific death rates for geographic subunits. We examine its effectiveness by applying it to US vital statistics data for 1979–2011 and...
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