期刊
JOURNAL OF STATISTICAL SOFTWARE
卷 45, 期 4, 页码 1-20出版社
JOURNAL STATISTICAL SOFTWARE
DOI: 10.18637/jss.v045.i04
关键词
missing data; multiple imputation; chained equations; continuous variables; categorical variables
资金
- MRC [MC_US_A737_0002, MC_US_A030_0014]
- Medical Research Council [MC_U105260558, MC_EX_G0800814] Funding Source: researchfish
- MRC [MC_EX_G0800814, MC_U105260558] Funding Source: UKRI
Missing data are a common occurrence in real datasets. For epidemiological and prognostic factors studies in medicine, multiple imputation is becoming the standard route to estimating models with missing covariate data under a missing-at-random assumption. We describe ice, an implementation in Stata of the MICE approach to multiple imputation. Real data from an observational study in ovarian cancer are used to illustrate the most important of the many options available with ice. We remark briefly on the new database architecture and procedures for multiple imputation introduced in releases 11 and 12 of Stata.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据