The Collaborative Perinatal Project is a large study aimed at identifying the risks and complications of pregnancies. Data about the pregnancy and the birth outcome were collected on a large number of women from 12 different hospitals over several years. We focus on the duration of the pregnancy, and we investigate the heterogeneity of the gestational age among women and between hospitals. We apply a hierarchical mixture model based on the thinned dependent Dirichlet process of [2], and we show how this approach is able to simultaneously convey a clustering of patients and hospitals.
D'Angelo, L., Nipoti, B., Ongaro, A. (2025). Two-Level Clustering of Patients and Hospitals via Thinned Dependent Dirichlet Process Mixtures. In A. Pollice, P. Mariani (a cura di), Methodological and Applied Statistics and Demography II SIS 2024, Short Papers, Solicited Sessions (pp. 37-42). Springer [10.1007/978-3-031-64350-7_7].
Two-Level Clustering of Patients and Hospitals via Thinned Dependent Dirichlet Process Mixtures
D'Angelo, Laura
;Nipoti, Bernardo;Ongaro, Andrea
2025
Abstract
The Collaborative Perinatal Project is a large study aimed at identifying the risks and complications of pregnancies. Data about the pregnancy and the birth outcome were collected on a large number of women from 12 different hospitals over several years. We focus on the duration of the pregnancy, and we investigate the heterogeneity of the gestational age among women and between hospitals. We apply a hierarchical mixture model based on the thinned dependent Dirichlet process of [2], and we show how this approach is able to simultaneously convey a clustering of patients and hospitals.File | Dimensione | Formato | |
---|---|---|---|
DAngelo-Nipoti-Ongaro-2025-Methodological and Applied Statistics and Demography-VoR.pdf
Solo gestori archivio
Descrizione: Two-Level Clustering of Patients and Hospitals via Thinned Dependent Dirichlet Process Mixtures
Tipologia di allegato:
Publisher’s Version (Version of Record, VoR)
Licenza:
Tutti i diritti riservati
Dimensione
7.29 MB
Formato
Adobe PDF
|
7.29 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.