A Causal Inference Methodology to Support Research on Osteopenia for Breast Cancer Patients

A Causal Inference Methodology to Support Research on Osteopenia for Breast Cancer Patients

Breast cancer is the most common cancer in the world. With a 5-year survival rate of over 90% for patients at the early disease stages, the management of side-effects of breast cancer treatment has become a pressing issue. Observational, real-world data such as electronic health records, insurance c...

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Bibliographic Details
Main Authors: Niki Kiriakidou, Aristotelis Ballas, Cristina Meliá Hernando, Anna Miralles, Teta Stamati, Dimosthenis Anagnostopoulos, Christos Diou
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
causal inference
treatment effect estimation
osteopenia
breast cancer
Online Access:https://www.mdpi.com/2076-3417/14/21/9700
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