A Bayesian Survival Analysis on Long COVID and Non-Long COVID Patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data

A Bayesian Survival Analysis on Long COVID and Non-Long COVID Patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data

Since the outbreak of the COVID-19 pandemic in 2020, numerous studies have focused on the long-term effects of COVID infection. On 1 October 2021, the Centers for Disease Control (CDC) implemented a new code in the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-...

Full description

Saved in:
Bibliographic Details
Main Authors: Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Jiebei Liu, Donald Brown, on behalf of N3C Consortium
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
Bayesian survival analysis
log-normal model
Markov chain Monte Carlo
long COVID
N3C
Online Access:https://www.mdpi.com/2306-5354/12/5/496
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2306-5354/12/5/496

Similar Items