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Application of multiple imputations in medical and epidemiological research

Author(s): Majid Mir Mohammadkhani | Kourosh Holakouie Naieni

Journal: Journal of School of Public Health and Institute of Public Health Research
ISSN 1735-7586

Volume: 9;
Issue: 4;
Start page: 77;
Date: 2012;
Original page

Keywords: Multiple Imputation | Epidemiology | Missing Values

"nData missing, which occurs for different reasons, is an unavoidable problem in epidemiological studies. It is quite widespread and, therefore, it is considered as a challenge in research design and data analysis by many methodologists. Complete case analysis is often used in studies with missing data; however, this approach may result in inaccurate estimates and inferences due to bias associated with missing data. It is possible to obtain more accurate results through data repairing methods. Ordinary, simple strategies, such as single imputation methods, have drawbacks and limitations in practice. It has, however, been demonstrated that using modern imputation techniques can, despite their complexity, reduce bias dramatically in many situations, if used appropriately and properly. In this review, application of multiple imputations, as a novel technique for handling missing data in health and epidemiological research, is briefly discussed

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