用于分析非单调不可忽略缺失数据的无应答模型。
Non-response models for the analysis of non-monotone non-ignorable missing data.
作者信息
Robins J M
机构信息
Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
出版信息
Stat Med. 1997;16(1-3):21-37. doi: 10.1002/(sici)1097-0258(19970115)16:1<21::aid-sim470>3.0.co;2-f.
Abstract
I introduce a new class of non-ignorable non-monotone missing data models. These models are useful for investigating the sensitivity of one's estimates to untestable assumptions about the missing data process. I use the new models to analyse data from a case-control study of the effect of radiation on breast cancer.
摘要
我引入了一类新的不可忽略的非单调缺失数据模型。这些模型对于研究一个人的估计对关于缺失数据过程的不可检验假设的敏感性很有用。我使用这些新模型来分析一项关于辐射对乳腺癌影响的病例对照研究的数据。
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