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...
Main Authors: | , , , , , , |
---|---|
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 |