The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Missing data methods in longitudinal studies: a review
Open accessAbstract
Incomplete data are quite common in biomedical and other types of research, especially in longitudinal studies. During the last three decades, a vast amount of work has been done in the area. This has led, on the one hand, to a rich taxonomy of missing-data concepts, issues, and methods and, on the other hand, to a variety of data-analytic tools. Elements of taxonomy include: missing data patterns, mechanisms, and modeling frameworks; inferential paradigms; and sensitivity analysis frameworks. These are described in detail. A variety of concrete modeling devices is presented. To make matters concrete, two case studies are considered. The first one concerns quality of life among breast cancer patients, while the second one examines data from the Muscatine children’s obesity study.
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Cites
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Daley, M. F., Narwaney, K. J., Shoup, J. A., Wagner, N. M., & Glanz, J. M. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.04.010 · Cited by 164
Longitudinal effects of medication nonadherence on glycemic control
Egede, L. E., Gebregziabher, M., Echols, C., & Lynch, C. P. (2014) · Annals of Pharmacotherapy · doi:10.1177/1060028014526362 · Cited by 146
de Melo, M. B., Daldegan‐Bueno, D., Menezes Oliveira, M. G., & de Souza, A. L. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15858 · Cited by 116
Basner, M., Dinges, D. F., Shea, J. A., Small, D. S., Zhu, J., Norton, L., Ecker, A. J., Novak, C., Bellini, L. M., & Volpp, K. G. (2017) · Sleep · doi:10.1093/sleep/zsx027 · Cited by 96
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Metadata
- Authors
- Ibrahim, J. G., & Molenberghs, G.
- Venue
- TEST
- Published
- 2009-02-27
- Volume
- 18
- Issue
- 1
- Pages
- 1-43
- ISSN
- 1133-0686 (ISSN-L)
- 1863-8260
- OpenAlex
- W2059180350
- Cited by
- 512
- References
- 93
- FWCI
- 10.66
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.