Cargando…
A survival analysis approach for identifying the risk factors in time to recovery of COVID-19 patients using Cox proportional hazard model
The coronavirus pandemic was a global health crisis taking away millions of lives worldwide. People diseased by the virus, differ in the extent of severity of the infection. While it turns out to be fatal for some, for several others the extent of severity is as ordinary as common cold. These people...
Autores principales: | Das, Dhruba, Saikia, Hemanta, Bora, Dibyajyoti, Bhattacharjee, Dibyojyoti, Das, Jondeep |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583648/ http://dx.doi.org/10.1016/j.dajour.2022.100137 |
Ejemplares similares
-
Cricket performance management: mathematical formulation and analytics
por: Saikia, Hemanta, et al.
Publicado: (2019) -
Generating survival times to simulate Cox proportional hazards models with time-varying covariates
por: Austin, Peter C
Publicado: (2012) -
Survival time prediction by integrating cox proportional hazards network and distribution function network
por: Baek, Eu-Tteum, et al.
Publicado: (2021) -
Tests for the proportional hazards assumption in the Cox model
por: Reiersølmoen, L, et al.
Publicado: (2001) -
Generating Survival Times Using Cox Proportional Hazards Models with Cyclic and Piecewise Time-Varying Covariates
por: Huang, Yunda, et al.
Publicado: (2020)