Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring

被引：198

作者：

Royston, Patrick ^{[1
]}

机构：

[1] MRC Clin Trials Unit, Canc & Stat Methodol Grp, London, England

来源：

STATA JOURNAL | 2007年 / 7卷 / 04期

基金：

英国医学研究理事会;

关键词：

st0067_3; ice; uvis; micombine; ice_reformat; multiple imputation; interval censoring; visualization; censored survival data;

D O I：

10.1177/1536867X0700700401

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 imputation 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 is further updated. Special attention in this article is paid to imputing interval-censored observations, and a suggestion to use imputation of right-censored survival data to elucidate covariate effects graphically.

引用

页码：445 / 464

页数：20

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