Multiple imputation of missing values: Further update of ice, with an emphasis an categorical variables

被引：328
|
作者：
Royston, Patrick [1 ,2 ]
机构：
[1] MRC Clinc Trials Unit, London, England
[2] UCL, London, England
来源：
STATA JOURNAL | 2009年 / 9卷 / 03期
关键词：
st0067_4; multiple imputation; chained equations; categorical variables; negative binomal distribution; ice; uvis; im; NORTHERN MALAWI; EFFICACY; LEPROSY; BCG;
D O I：
10.1177/1536867X0900900308
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
Multiple inputation of missing data continues to be a topic of considerable interest and importance to applied researchers. In this article, the ice package for multiple imputation by chained equations (also known as fully conditional specification) is further updated. Special attention is paid to categorical variables. The relationship between ice and the new multiple-imputation system in Stata 11 is clarified.
引用
收藏
页码：466 / 477
页数：12
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