Holman Rebecca, Glas Cees A W
Department of Clinical Epidemiology and Biostatistics, Amsterdam Medical Center, The Netherlands.
Br J Math Stat Psychol. 2005 May;58(Pt 1):1-17. doi: 10.1348/000711005X47168.
A model-based procedure for assessing the extent to which missing data can be ignored and handling non-ignorable missing data is presented. The procedure is based on item response theory modelling. As an example, the approach is worked out in detail in conjunction with item response data modelled using the partial credit and generalized partial credit models. Simulation studies are carried out to assess the extent to which the bias caused by ignoring the missing-data mechanism can be reduced. Finally, the feasibility of the procedure is demonstrated using data from a study to calibrate a medical disability scale.
本文提出了一种基于模型的程序，用于评估可忽略缺失数据的程度以及处理不可忽略的缺失数据。该程序基于项目反应理论建模。作为一个例子，结合使用部分计分模型和广义部分计分模型建模的项目反应数据，详细阐述了该方法。进行了模拟研究，以评估忽略缺失数据机制所导致的偏差能够在多大程度上得到减少。最后，使用一项校准医学残疾量表的研究数据证明了该程序的可行性。
