| Literature DB >> 33934950 |
Hilal Maradit Kremers1, Katrina L Devick2, Dirk R Larson3, David G Lewallen4, Daniel J Berry4, Cynthia S Crowson5.
Abstract
Most orthopedic studies involve survival analysis examining the time to an event of interest, such as a specific complication or revision surgery. Competing risks commonly arise in such studies when patients are at risk of more than one mutually exclusive event, such as death, or when the rate of an event depends on the rates of other competing events. In this article, we briefly describe the survival analysis censoring methodology, common fatal and nonfatal competing events, and define circumstances where standard survival analysis can fail in the setting of competing risks with real-world examples from orthopedics. Please visit the followinghttps://youtu.be/ifj_Mm3eGu8for a video that explains the highlights of the paper in practical terms.Entities:
Keywords: bias; censoring; competing risk; survival analysis; total joint arthroplasty
Mesh:
Year: 2021 PMID: 33934950 PMCID: PMC8478701 DOI: 10.1016/j.arth.2021.04.015
Source DB: PubMed Journal: J Arthroplasty ISSN: 0883-5403 Impact factor: 4.435