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Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale
Research article (Statistics in Medicine, 2023) · cited 13× · AI/ML
Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale
Summary
Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale is a scholarly article[1].
Key Facts
Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale's instance of is recorded as scholarly article[2].
References
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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). Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-leaveoneout-cross-validation-loo-in-a-multilevel-regression-and-poststratification-mrp-workflow-a-cautionary-tale
MLA“Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-leaveoneout-cross-validation-loo-in-a-multilevel-regression-and-poststratification-mrp-workflow-a-cautionary-tale.
BibTeX@misc{4ortxyz_using-leaveoneout-cross-validation-loo-in-a-multilevel-regression-and-poststratification-mrp-workflow-a-cautionary-tale_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale}}, year = {2026}, url = {https://4ort.xyz/entity/using-leaveoneout-cross-validation-loo-in-a-multilevel-regression-and-poststratification-mrp-workflow-a-cautionary-tale}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using leave‐one‐out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale — https://4ort.xyz/entity/using-leaveoneout-cross-validation-loo-in-a-multilevel-regression-and-poststratification-mrp-workflow-a-cautionary-tale (retrieved 2026-05-24)
