Walter Scott R, Rose Nectarios
Centre for Epidemiology and Evidence, New South Wales Ministry of Health, Sydney, Australia.
Spat Spatiotemporal Epidemiol. 2013 Sep;6:7-16. doi: 10.1016/j.sste.2013.04.005. Epub 2013 May 3.
Allocating an incomplete address to randomly selected property coordinates within a locality, known as random property allocation, has many advantages over other geoimputation techniques. We compared the performance of random property allocation to four other methods under various conditions using a simulation approach. All methods performed well for large spatial units, but random property allocation was the least prone to bias and error under volatile scenarios with small units and low prevalence. Both its coordinate based approach as well as the random process of assignment contribute to its increased accuracy and reduced bias in many scenarios. Hence it is preferable to fixed or areal geoimputation for many epidemiological and surveillance applications.
将不完整地址分配到一个地区内随机选择的房产坐标上，即所谓的随机房产分配，与其他地理估算技术相比有许多优势。我们使用模拟方法在各种条件下将随机房产分配的性能与其他四种方法进行了比较。所有方法在大空间单元上表现良好，但在小单元和低患病率的不稳定情况下，随机房产分配最不易产生偏差和误差。其基于坐标的方法以及随机分配过程在许多情况下都有助于提高准确性和减少偏差。因此，在许多流行病学和监测应用中，它比固定或区域地理估算更可取。
