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Using multi-level regression to determine associations and estimate causes and effects in clinical anesthesia due to patient, practitioner and hospital or health system practice variability

Crossref DOI link: https://doi.org/10.1007/s00540-024-03408-3

Published Online: 2024-09-18

Published Print: 2025-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Aoyama, Kazuyoshi https://orcid.org/0000-0002-7502-0896
Yang, Alan

Pinto, Ruxandra

Ray, Joel G.

Hill, Andrea

Scales, Damon C.

Fowler, Robert A.
Funding

Funding for this research was provided by:

Canadian Institutes of Health Research (287534, 287534, 287534, 287534, 342397, 342397, 342397, 342397, 287534, 342397, Fellowship, PJX179857, PJX179857, PJX179857, PJT183603, PJT183603, PJT183603)

Canadian Anesthesiologists’ Society (Canadian Anesthesiologists’ Society Research Award 2022-2024, Canadian Anesthesiologists’ Society Career Scientist Award in Anesthesia 2024-2026)
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Text and Data Mining valid from 2024-09-18

Version of Record valid from 2024-09-18
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Article History

Received: 30 May 2024

Accepted: 2 September 2024

First Online: 18 September 2024

Declarations

:

: Not applicable.

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