Dynamic prediction of repeated events data based on landmarking model: application to colorectal liver metastases data

Dynamic prediction of repeated events data based on landmarking model: application to colorectal liver metastases data

Abstract Background In some clinical situations, patients experience repeated events of the same type. Among these, cancer recurrences can result in terminal events such as death. Therefore, here we dynamically predicted the risks of repeated and terminal events given longitudinal histories observed...

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Bibliographic Details
Main Authors: Isao Yokota, Yutaka Matsuyama
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Medical Research Methodology
Subjects:
Dynamic prediction
Landmarking
Pseudo-observations
Repeated events
Terminal event
Online Access:http://link.springer.com/article/10.1186/s12874-019-0677-0

Internet

http://link.springer.com/article/10.1186/s12874-019-0677-0

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