Walter S D
Stat Med. 1986 Jan-Feb;5(1):61-71. doi: 10.1002/sim.4780050109.
This paper evaluates the relationships between various indices of proportional mortality, used in occupational and other settings where denominator data are unavailable. In particular, we examine the necessary conditions for validity of the proportional mortality ratio (PMR) and mortality odds ratio (MOR) as estimates of the standardized mortality ratio (SMR), in general and for the situation where one considers only a subset of deaths, with certain causes of death deleted from the data. We may exclude data in this way to avoid the inflationary effect on the PMRs for some causes of death (e.g. cancer) that results from a 'healthy worker effect' for other causes of death (e.g. heart disease). We find that cause-deleted PMRs and MORs may be unbiased estimates of their corresponding SMR, and these indices appear most useful for specific hazards of employment or relatively infrequent causes of death.
本文评估了在分母数据不可用的职业和其他环境中使用的各种比例死亡率指数之间的关系。特别是，我们研究了比例死亡率（PMR）和死亡率比值比（MOR）作为标准化死亡率（SMR）估计值有效性的必要条件，一般情况以及仅考虑部分死亡子集（某些死因数据被删除）的情况。我们可以通过这种方式排除数据，以避免因其他死因（如心脏病）的“健康工人效应”而导致某些死因（如癌症）的PMR出现膨胀效应。我们发现，删除死因后的PMR和MOR可能是其相应SMR的无偏估计，并且这些指数对于特定的就业风险或相对罕见的死因似乎最有用。
