Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach
Summary
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach is a scholarly article[1].
Key Facts
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiple-imputation-of-missing-data-in-multilevel-models-with-the-r-package-mdmb-a-flexible-sequential-modeling-approach
MLA“Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiple-imputation-of-missing-data-in-multilevel-models-with-the-r-package-mdmb-a-flexible-sequential-modeling-approach.
BibTeX@misc{4ortxyz_multiple-imputation-of-missing-data-in-multilevel-models-with-the-r-package-mdmb-a-flexible-sequential-modeling-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach}}, year = {2026}, url = {https://4ort.xyz/entity/multiple-imputation-of-missing-data-in-multilevel-models-with-the-r-package-mdmb-a-flexible-sequential-modeling-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach — https://4ort.xyz/entity/multiple-imputation-of-missing-data-in-multilevel-models-with-the-r-package-mdmb-a-flexible-sequential-modeling-approach (retrieved 2026-05-24)
