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Dynamic prediction of repeated events data based on landmarking model: application to colorectal liver metastases data
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 before...
Autores principales: | Yokota, Isao, Matsuyama, Yutaka |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376774/ https://www.ncbi.nlm.nih.gov/pubmed/30764772 http://dx.doi.org/10.1186/s12874-019-0677-0 |
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