Healthcare center clustering for Cox's proportional hazards model by fusion penalty.
Stat Med
; 42(20): 3685-3698, 2023 09 10.
Article
em En
| MEDLINE
| ID: mdl-37315935
ABSTRACT
There has been growing research interest in developing methodology to evaluate healthcare centers' performance with respect to patient outcomes. Conventional assessments can be conducted using fixed or random effects models, as seen in provider profiling. We propose a new method, using fusion penalty to cluster healthcare centers with respect to a survival outcome. Without any prior knowledge of the grouping information, the new method provides a desirable data-driven approach for automatically clustering healthcare centers into distinct groups based on their performance. An efficient alternating direction method of multipliers algorithm is developed to implement the proposed method. The validity of our approach is demonstrated through simulation studies, and its practical application is illustrated by analyzing data from the national kidney transplant registry.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Atenção à Saúde
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article