Temporal analysis of hospital network data by hierarchical Bayesian p 2 models with covariates.
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| Název: | Temporal analysis of hospital network data by hierarchical Bayesian p 2 models with covariates. |
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| Autoři: | Bartolucci, Francesco, Donni, Paolo Li, Mira, Antonietta |
| Zdroj: | Journal of the Royal Statistical Society: Series A (Statistics in Society); Jul2023, Vol. 186 Issue 3, p422-440, 19p, 7 Charts, 2 Graphs, 1 Map |
| Témata: | MARKOV chain Monte Carlo, BAYESIAN field theory, MEDICAL referrals, TIME-varying networks |
| Geografický termín: | NETHERLANDS, ITALY |
| Abstrakt: | Motivated by an application about interhospital connections, we propose a modelling approach for data referred to a temporal network. The approach may be seen as an extension of the one recently proposed in Bianchi et al. (2020) and, in turn, of the popular p 1 and p 2 models by Holland and Leinhardt (1981) and van Duijn et al. (2004), on which the latter is built. The proposed extension consists in the introduction of covariates and in the adoption of a hierarchical Bayesian inferential approach that shows advantages in the specific application. For Bayesian inference we rely on a Markov chain Monte Carlo algorithm that produces samples from the posterior distribution of the model parameters. The application is based on original data on patient referral relations among 127 hospitals serving a large regional community of patients in Italy from 2014 to 2018. Results indicate that interhospital collaborative behaviours are primarily local and that collaborative attitudes vary at different time occasions of the considered period and in accordance with the level of competition faced by hospital organisations. [ABSTRACT FROM AUTHOR] |
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| Databáze: | Complementary Index |
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