Bounds in Competing Risks Models and the War on Cancer
推导了竞争风险模型在多种假设下的分布界限，并应用于美国死亡率数据，发现癌症趋势的改善幅度远大于此前估计。
Competing risks models are fundamentally unidentified. This paper derives bounds for aspects of the underlying distributions under a number of different assumptions. These bounds are then applied to mortality data from the US. We find that trends in cancer show much larger improvements than was previously estimated.