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Application of imputation methods with adjusting multi-center effect on Crohns disease data in Korea
Journal of the Korean Data & Information Science Society 2018;29:557-65
Published online March 31, 2018
© 2018 Korean Data and Information Science Society.

Hanna Yoo1

1Department of Computer Software, Busan University of Foreign Studies
Correspondence to: Assistant professor, Department of Computer Software, Busan University of Foreign Studies, 65 Geumsaem-ro 485 beon-gil, Geumjeong-gu, Busan, Korea. Email: pinkcan78@bufs.ac.kr
Received January 15, 2018; Revised March 8, 2018; Accepted March 19, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The purpose of this study is to assess the risk factors for recurrence time after the first abdominal surgery in Korean patients with Crohns disease (CD). CD patients who underwent abdominal surgery from January 2000 to December 2009 were collected from seventeen university hospitals (Lee et al. 2012). We assessed the risk factors for recurrence time after the first abdominal surgery CD using Cox regression analysis with imputing the missing covariates using single and multiple imputation methods and also adjusting for the multi-center effect. We compared our results with the complete case analysis. Using imputation methods with considering the multi-center effect, model performance was improved. Comparing between the imputation methods, multiple imputation method showed better performance than single imputation method.
Keywords : Crohns disease, imputation methods, missing covariates, multi-center effect.