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http://dx.doi.org/10.5351/KJAS.2016.29.3.539

Comparison of binary data imputation methods in clinical trials  

An, Koosung (Department of Biomedicine.Health Science, The Catholic University of Korea)
Kim, Dongjae (Department of Biomedicine.Health Science, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.3, 2016 , pp. 539-547 More about this Journal
Abstract
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.
Keywords
binary missing data; clinical trial; missing pattern; missing data imputation;
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Times Cited By KSCI : 3  (Citation Analysis)
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