Dubois M F, Hébert R
Gerontology and Geriatrics Research Center, Sherbrooke University Geriatric Institute, Quebec, Canada.
Int Psychogeriatr. 2001;13 Supp 1:91-7. doi: 10.1017/s1041610202008025.
Data from the Canadian Study of Health and Aging (CSHA) allow investigators to study patterns and predictors of mortality and institutional placement in a well characterized, population-based cohort of elderly Canadians. However, it is impossible to study the timing of these events if the date of occurrence is missing. This technical article describes a procedure for imputing missing dates of death or institutionalization. The first step consists in identifying and correcting dates that are inconsistent with other available dates on which we know the event has or has not occurred. A missing date for an event is then replaced by the middle of a range of plausible dates for its occurrence. This constitutes a valuable addition to the CSHA data since it precludes the loss of information that results from discarding subjects with missing occurrence dates in time-to-event analyses.
加拿大健康与老龄化研究（CSHA）的数据使研究人员能够在一个特征明确、基于人群的加拿大老年队列中研究死亡率和机构安置的模式及预测因素。然而，如果事件发生日期缺失，就无法研究这些事件的发生时间。这篇技术文章描述了一种推算死亡或机构收容缺失日期的程序。第一步是识别并纠正与我们已知事件发生或未发生的其他可用日期不一致的日期。然后，将事件的缺失日期替换为一系列合理发生日期的中间值。这对CSHA数据来说是一项有价值的补充，因为它避免了在事件发生时间分析中因丢弃发生日期缺失的受试者而导致的信息丢失。
