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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Detalhes bibliográficos

Principais autores:	Guanqing Chen, A. James O’Malley
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2024-06-01
coleção:	Applied Network Science
Assuntos:	Bayesian inference Direct and indirect peer effects Diffusion of robotic surgery Hierarchical network autocorrelation model
Acesso em linha:	https://doi.org/10.1007/s41109-024-00627-1
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