Different competing risks models for different questions may give similar results in arthroplasty registers in the presence of few events: Illustrated with 138,234 hip (124,560 patients) and 139,070 knee (125,213 patients) replacements from the Dutch Arthroplasty Register
Background and purpose — In arthroplasty registry studies, the analysis of time to revision is complicated by the competing risk of death. There are no clear guidelines for the choice between the 2 main adjusted analysis methods, cause-specific Cox and Fine–Gray regression, for orthopedic data. We investigated whether there are benefits, such as insight into different aspects of progression to revision, to using either 1 or both regression methods in arthroplasty registry studies in general, and specifically when the length of follow-up is short relative to the expected survival of the implant... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2018 |
Reihe/Periodikum: | Acta Orthopaedica, Vol 89, Iss 2, Pp 145-151 (2018) |
Verlag/Hrsg.: |
Medical Journals Sweden
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Schlagwörter: | Orthopedic surgery / RD701-811 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26628971 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1080/17453674.2018.1427314 |