Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes. Retrieved May 24, 2026, from https://4ort.xyz/entity/bimm-forest-a-random-forest-method-for-modeling-clustered-and-longitudinal-binary-outcomes
MLA“BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bimm-forest-a-random-forest-method-for-modeling-clustered-and-longitudinal-binary-outcomes.
BibTeX@misc{4ortxyz_bimm-forest-a-random-forest-method-for-modeling-clustered-and-longitudinal-binary-outcomes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes}}, year = {2026}, url = {https://4ort.xyz/entity/bimm-forest-a-random-forest-method-for-modeling-clustered-and-longitudinal-binary-outcomes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes — https://4ort.xyz/entity/bimm-forest-a-random-forest-method-for-modeling-clustered-and-longitudinal-binary-outcomes (retrieved 2026-05-24)
