Testing theories about human senescence and longevity demands accurate information on older-adult mortality; this is rare in low- to middle-income countries where raw data may be distorted by defective completeness and systematic age misreporting. For this reason, such populations are frequently excluded from empirical tests of mortality and longevity theories, thus limiting their reach, as they reflect only a small and selected human mortality experience. In this paper we formulate an integrated method to compute estimates of older-adult mortality when vital registration and population counts are defective due to inaccurate coverage and/or systematic age misreporting. The procedure is validated with a simulation study that identifies a strategy to compute adjustments, which, under some assumptions, performs quite well. While the paper focuses on Latin American and Caribbean countries, the method is quite general and, with additional information and some model reformulation, could be applied to other populations with similar problems.

检验有关人类衰老和长寿的理论需要有关老年人死亡率的准确信息；这在低收入和中等收入国家很少见，原始数据可能因完整性缺陷和系统性年龄误报而失真。出于这个原因，这些人群经常被排除在死亡率和长寿理论的经验测试之外，从而限制了它们的范围，因为它们只反映了一小部分和选定的人类死亡率经验。在本文中，我们制定了一种综合方法来计算由于覆盖不准确和/或系统性年龄误报而导致生命登记和人口计数有缺陷时的老年人死亡率估计值。该过程通过一项模拟研究得到验证，该研究确定了一种计算调整的策略，在某些假设下，该策略表现得相当好。