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.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Two-Level Clustering of Patients and Hospitals via Thinned Dependent Dirichlet Process Mixtures

  • Laura D’Angelo,
  • Bernardo Nipoti,
  • Andrea Ongaro

摘要

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.