Comparison of binary data imputation methods in clinical trials

被引：0
|
作者：
An, Koosung [1 ]
Kim, Dongjae [1 ]
机构：
[1] Catholic Univ Korea, Dept Biomed, Hlth Sci, 222 Banpo Daero Seocho Gu, Seoul 06591, South Korea
来源：
KOREAN JOURNAL OF APPLIED STATISTICS | 2016年 / 29卷 / 03期
关键词：
binary missing data; clinical trial; missing pattern; missing data imputation;
D O I：
10.5351/KJAS.2016.29.3.539
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
We discussed how to handle missing binary data clinical trials. Patterns of occurring missing data are discussed and introduce missing binary data imputation methods that include the modified method. A simulation is performed by modifying actual data for each method. The condition of this simulation is controlled by a response rate and a missing value rate. We list the simulation results for each method and discussed them at the end of this paper.
引用
收藏
页码：539 / 547
页数：9
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