Cargando…
Network estimation for censored time-to-event data for multiple events based on multivariate survival analysis
In general survival analysis, multiple studies have considered a single failure time corresponding to the time to the event of interest or to the occurrence of multiple events under the assumption that each event is independent. However, in real-world events, one event may impact others. Essentially...
Autores principales: | Kim, Yoojoong, Seok, Junhee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529251/ https://www.ncbi.nlm.nih.gov/pubmed/33002010 http://dx.doi.org/10.1371/journal.pone.0239760 |
Ejemplares similares
-
CTIVA: Censored time interval variable analysis
por: Kim, Insoo, et al.
Publicado: (2023) -
Combined multiple testing of multivariate survival times by censored empirical likelihood
por: Parkinson, Judith H.
Publicado: (2019) -
Analysis for time-to-event data under censoring and truncation
por: Dai, Hongsheng, et al.
Publicado: (2016) -
Interval-Censored Time-to-Event Data: Methods and Applications
por: Chen, Ding-Geng
Publicado: (2012) -
Simple parametric survival analysis with anonymized register data: A cohort study with truncated and interval censored event and censoring times
por: Støvring, Henrik, et al.
Publicado: (2011)