Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?

Research article (PLoS ONE, 2016) · cited 84× · AI/ML
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Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?

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Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-clustered-data-why-and-how-to-account-for-multiple-observations-nested-within-a-study-participant
MLA “Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-clustered-data-why-and-how-to-account-for-multiple-observations-nested-within-a-study-participant.
BibTeX @misc{4ortxyz_analyzing-clustered-data-why-and-how-to-account-for-multiple-observations-nested-within-a-study-participant_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant?}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-clustered-data-why-and-how-to-account-for-multiple-observations-nested-within-a-study-participant}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant? — https://4ort.xyz/entity/analyzing-clustered-data-why-and-how-to-account-for-multiple-observations-nested-within-a-study-participant (retrieved 2026-05-24)

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