The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types
Open accessAbstract
Multiple imputation is becoming increasingly established as the leading practical approach to modelling partially observed data, under the assumption that the data are missing at random. However, many medical and social datasets are multilevel, and this structure should be reflected not only in the model of interest, but also in the imputation model. In particular, the imputation model should reflect the differences between level 1 variables and level 2 variables (which are constant across level 1 units). This led us to develop the REALCOM-IMPUTE software, which we describe in this article. This software performs multilevel multiple imputation, and handles ordinal and unordered categorical data appropriately. It is freely available on-line, and may be used either as a standalone package, or in conjunction with the multilevel software MLwiN or Stata.
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Self-citationStrategies for Multiple Imputation in Longitudinal Studies
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Principled missing data methods for researchers
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Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data
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Risk of being killed by police use of force in the United States by age, race–ethnicity, and sex
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Accounting for missing data in statistical analyses: multiple imputation is not always the answer
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Longitudinal associations between cyberbullying involvement and adolescent mental health
Fahy, A. E., Stansfeld, S. A., Smuk, M., Smith, N. R., Cummins, S., & Clark, C. (2016) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2016.06.006 · Cited by 457
Metadata
- Authors
- Carpenter, J. R., Goldstein, H., & Kenward, M. G.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2011
- Volume
- 45
- Issue
- 5
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2104199131
- Cited by
- 395
- References
- 17
- FWCI
- 9.74
- Type
- journal article
- Language
- en
- Open access
- diamond
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