Methods for identifying health state transitions from administrative data: the case of metastasis in prostate cancer

Introduction Health administrative data are a rich source of population-based information, useful for building state transition models for medical decision making. These models require identification of health state transitions and associated times. Indirect methods are needed to predict this inform...

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Bibliographic Details
Main Authors: Nicholas Mitsakakis, Karen Bremner, Ruth Croxford, Lusine Abrahamyan, Welson Ryan, Steven Carcone, Murray Krahn
Format: Article
Language:English
Published: Swansea University 2018-08-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/708