Pham, Tra My;
Pandis, Nikolaos;
White, Ian R;
(2024)
Missing data: issues, concepts, methods.
Seminars in Orthodontics
, 30
(1)
pp. 37-44.
10.1053/j.sodo.2024.01.007.
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Abstract
Missing data are a common issue in medical research. We aim to explain in non-technical language the issues and concepts around missing data, as well as discuss common methods for handling missing data. Specifically, our objectives are to answer the following questions: (1) What are missing data and why should we care about them? (2) What are the missingness mechanisms and how do they impact statistical analysis? (3) How can we explore missing values in our datasets? (4) What are ad-hoc methods for dealing with missing values and are they valid? (5) What is multiple imputation? (6) What should we consider when conducting a multiple imputation analysis? (7) Is multiple imputation always needed? (8) How should we report an analysis with missing data? We illustrate discussions with examples from an orthodontic study.
| Type: | Article |
|---|---|
| Title: | Missing data: issues, concepts, methods |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1053/j.sodo.2024.01.007 |
| Publisher version: | https://doi.org/10.1053/j.sodo.2024.01.007 |
| Language: | English |
| Additional information: | Copyright © 2024 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
| Keywords: | Missing data, complete records, multiple imputation, sensitivity analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10185428 |
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