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

页码：539 / 547

页数：9

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