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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí hóa học quốc tế đề tài : Simple imputation methods were inadequate for missing not at random (MNAR) quality of life data | BioMed Central Health and Quality of Life Outcomes Research Simple imputation methods were inadequate for missing not at random MNAR quality of life data Shona Fielding 1 Peter M Fayers1 2 Alison McDonald3 Gladys McPherson3 Marion K Campbell3 for the RECORD study group Open Access Address Department of Public Health University of Aberdeen UK 2Department of Cancer Research and Molecular Medicine Faculty of Medicine Norwegian University of Science and Technology Trondheim Norway and 3Health Services Research Unit University of Aberdeen UK Email Shona Fielding - s.fielding@abdn.ac.uk Peter M Fayers - p.fayers@abdn.ac.uk Alison McDonald - a.mcdonald@abdn.ac.uk Gladys McPherson - g.mcpherson@abdn.ac.uk Marion K Campbell - m.k.campbell@abdn.ac.uk Corresponding author Published 4 August 2008 Health and Quality of Life Outcomes 2008 6 57 doi 10.1186 1477-7525-6-57 Received 1 1 February 2008 Accepted 4 August 2008 This article is available from http www.hqlo.cOm content 6 1 57 2008 Fielding et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Objective QoL data were routinely collected in a randomised controlled trial RCT which employed a reminder system retrieving about 50 of data originally missing. The objective was to use this unique feature to evaluate possible missingness mechanisms and to assess the accuracy of simple imputation methods. Methods Those patients responding after reminder were regarded as providing missing responses. A hypothesis test and a logistic regression approach were used to evaluate the missingness mechanism. Simple imputation procedures were carried out on these missing scores and the results compared to the actual observed scores. Results The hypothesis test and logistic regression approaches