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Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events
BACKGROUND: In clinical trials and survival analysis, participants may be excluded from the study due to withdrawal, which is often referred to as lost-to-follow-up (LTF). It is natural to argue that a disease would be censored due to death; however, when an LTF is present it is not guaranteed that...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404346/ https://www.ncbi.nlm.nih.gov/pubmed/30841923 http://dx.doi.org/10.1186/s12874-019-0678-z |