Pre-natal blood lead levels and learning difficulties in children: an analysis of non-randomly missing categorical data.
Pre-natal blood lead levels and learning difficulties in children: an analysis of non-randomly missing categorical data.
复制标题
产前血铅水平和儿童学习困难：非随机缺失分类数据的分析。
DOI：
10.1002/sim.4780110610
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发表时间：
1992
影响因子：
2
通讯作者：
Leviton,A
中科院分区：
文献类型：
--
作者：
Conaway,MR;Waternaux,C;Allred,E;Bellinger,D;Leviton,A
本文对无答复的分类变量进行了分析。我们通过对感兴趣变量的分布和无响应机制进行建模，将不完整的数据纳入分析中。我们讨论模型选择和解释的问题以及丢弃不完整观察结果的影响。此外，我们还描述了如何使用标准统计软件执行所有计算。我们在研究铅暴露对儿童学习困难的影响的背景下讨论了不完整的分类数据问题。在这项研究中，许多孩子没有对一些感兴趣的变量进行观察。在本研究中纳入不完整的数据尤为重要，因为有证据表明无响应与感兴趣的变量有关。当我们将不完整的数据纳入分析时，我们得出的结论与丢弃不完整的数据时得出的结论不同。我们还检查了我们的结论对无反应机制模型选择的敏感性。
This paper presents an analysis of categorical variables subject to non‐response. We incorporate the incomplete data into the analysis by modelling the distribution of the variables of interest and the non‐response mechanism. We discuss issues of model selection and interpretation and the effect of discarding incomplete observations. In addition, we describe how to perform all of the computations with standard statistical software. We discuss the problem of incomplete categorical data within the context of a study of the effect of lead exposure on learning difficulties in children. In this study, many of the children are not observed on some of the variables of interest. It is particularly important in this study to incorporate the incomplete data, since there is evidence that non‐response is related to the variables of interest. We reach different conclusions when we incorporate the incomplete data into the analysis than we reach when we discard the incomplete data. We also examine the sensitivity of our conclusions to the choice of a model for the non‐response mechanism.