摘要
剂量-反应关系模型在流行病学领域应用广泛,在循证医学领域,其也得到了广泛应用。剂量-反应Meta分析对于原始研究数据的依赖度较高,但原始研究常因未提供所需有效数据而给分析带来困难。通过向原始研究作者索取数据的途径效率与应答率均较低,因此,缺失值估计及转换显得尤为重要。本文归纳了几种常见缺失值,并就如何使用已有信息进行缺失值估计及效应指标转换进行探讨。
Dose-response relationship model has been widely used in epidemiology studies, as well as in evidencebased medicine area. In dose-response meta-analysis, the results are highly depended on the raw data. However, many primary studies did not provide sufficient data and led the difficulties in data analysis. The efficiency and response rate of collecting the raw data from original authors were always low, thus, evaluating and transforming the missing data is very important. In this paper, we summarized several types of missing data, and introduced how to estimate the missing data and transform the effect measure using the existed information.
出处
《中国循证医学杂志》
CSCD
2015年第8期984-987,共4页
Chinese Journal of Evidence-based Medicine
