MULTIPLE IMPUTATION OF MISSING BLOOD ALCOHOL CONCENTRATION (BAC) VALUES IN FARS
MULTIPLE IMPUTATION OF MISSING BLOOD ALCOHOL CONCENTRATION (BAC) VALUES IN FARS
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FARS 缺失血液酒精浓度 (BAC) 值的多重插补
DOI：
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发表时间：
1998
期刊：
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通讯作者：
R. Subramanian
中科院分区：
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作者：
D. Rubin;J. Schafer;R. Subramanian
美国国家公路交通安全管理局(NHTSA)已经采取了几种方法来补救死亡分析报告系统(FARS)中血液酒精测试结果缺失的问题。目前使用的方法采用线性判别模型，该模型估计驾驶员或非乘员的血液酒精浓度(BAC)以克/分升(g/dl)为单位的概率为0.00、0.01到0.09或0.10或更高。这些估计只针对司机和非乘员(行人、骑脚踏车的人)，他们的酒精测试结果没有报告。所提出的方法通过在所有可能的值范围内模拟BAC的特定值而不是估计概率来扩展当前模型。通过为每个缺失值输入10个BAC值，可以得出有效的统计推断，如方差、可信区间和偏差检验。对离散值的估计也有助于通过酒精参与的非标准边界(例如，0.08+)进行分析。
The National Highway Traffic Safety Administration (NHTSA) has undertaken several approaches to remedy the problem of missing blood alcohol test results in the Fatality Analysis Reporting System (FARS). The approach currently in use employs a linear discriminant model that estimates the probability that a driver or nonoccupant has a blood alcohol concentration (BAC) in grams per deciliter (g/dl) of 0.00, 0.01 to 0.09, or 0.10 and greater. The estimates are generated only for drivers and nonoccupants (pedestrians, pedalcyclists) for whom alcohol test results were not reported. The proposed methodology extends the current model by simulating specific values of BAC across the full range of possible values rather than estimating probabilities. By imputing ten values of BAC for each missing value, valid statistical inferences like variance, confidence intervals and deviation tests can be drawn. The estimation of discrete values also facilitates analysis by nonstandard boundaries of alcohol involvement (e.g., 0.08+).