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...
Sábháilte in:
| Príomhchruthaitheoirí: | , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
SpringerOpen
2024-06-01
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| Sraith: | Applied Network Science |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1007/s41109-024-00627-1 |
| Clibeanna: |
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