Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients

Abstract When an hypothesized peer effect (also termed social influence or contagion) is believed to act between units (e.g., hospitals) above the level at which data is observed (e.g., patients), a network autocorrelation model may be embedded within a hierarchical data structure thereby formulatin...

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Bibliographic Details
Main Authors: Guanqing Chen, A. James O’Malley
Format: Article
Language:English
Published: SpringerOpen 2024-06-01
Series:Applied Network Science
Subjects:
Online Access:https://doi.org/10.1007/s41109-024-00627-1
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