Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
نویسندگان
چکیده
1Department of Social Medicine, University of Bristol, Bristol BS8 2PR 2MRC Biostatistics Unit, Institute of Public Health, Cambridge CB2 0SR 3Clinical Epidemiology and Biostatistics Unit, Murdoch Children’s Research Institute, and University of Melbourne, Parkville, Victoria 3052, Australia 4Cancer and Statistical Methodology Groups, MRC Clinical Trials Unit, London NW1 2DA 5Medical Statistics Unit, London School of Hygiene and Tropical Medicine London, WC1E 7HT 6Department of Public Health and Primary Care, Institute of Public Health, Cambridge Correspondence to: J A C Sterne [email protected]
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کاربرد جای گذاری چندگانه در تحقیقات پزشکی و اپیدمیولوژی
Data 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...
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