Response-based multiple imputation method for minimizing the impact of covariate detection limit in logistic regression

Article

Hossain, Shahadut, Hoque, Zahirul and Wesolowski, Jacek. 2021. "Response-based multiple imputation method for minimizing the impact of covariate detection limit in logistic regression." Communications in Statistics: Theory and Methods. 50 (2), pp. 371-386. https://doi.org/10.1080/03610926.2019.1635699

Article Title	Response-based multiple imputation method for minimizing the impact of covariate detection limit in logistic regression
ERA Journal ID	791
Article Category	Article
Authors	Hossain, Shahadut, Hoque, Zahirul and Wesolowski, Jacek
Journal Title	Communications in Statistics: Theory and Methods
Journal Citation	50 (2), pp. 371-386
Number of Pages	16
Year	2021
Publisher	Taylor & Francis
Place of Publication	United States
ISSN	0361-0926
	1532-415X
Digital Object Identifier (DOI)	https://doi.org/10.1080/03610926.2019.1635699
Web Address (URL)	https://www.tandfonline.com/doi/abs/10.1080/03610926.2019.1635699
Abstract	Presence of detection limit (DL) in covariates causes inflated bias and inaccurate mean squared error to the estimators of the regression parameters. This paper suggests a response-driven multiple imputation method to correct the deleterious impact introduced by the covariate DL in the estimators of the parameters of simple logistic regression model. The performance of the method has been thoroughly investigated, and found to outperform the existing competing methods. The proposed method is computationally simple and easily implementable by using three existing R libraries. The method is robust to the violation of distributional assumption for the covariate of interest.
Keywords	Detection limit; left-truncation; logistic regression; multiple lmputation
Contains Sensitive Content	Does not contain sensitive content
ANZSRC Field of Research 2020	490508. Statistical data science
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	United Arab Emirates University, United Arab Emirates
	Warsaw University of Technology, Poland

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