Cargando…
Bias due to censoring of deaths when calculating extra length of stay for patients acquiring a hospital infection
BACKGROUND: In many studies the information of patients who are dying in the hospital is censored when examining the change in length of hospital stay (cLOS) due to hospital-acquired infections (HIs). While appropriate estimators of cLOS are available in literature, the existence of the bias due to...
Autores principales: | Rahman, Shahina, von Cube, Maja, Schumacher, Martin, Wolkewitz, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975458/ https://www.ncbi.nlm.nih.gov/pubmed/29843610 http://dx.doi.org/10.1186/s12874-018-0500-3 |
Ejemplares similares
-
Methodological evaluation of bias in observational coronavirus disease 2019 studies on drug effectiveness
por: Martinuka, Oksana, et al.
Publicado: (2021) -
‘Methodological evaluation of bias in observational COVID-19 studies on drug effectiveness’ – Author’s reply
por: Wolkewitz, Martin, et al.
Publicado: (2021) -
Basic parametric analysis for a multi-state model in hospital epidemiology
por: von Cube, Maja, et al.
Publicado: (2017) -
Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitals
por: Wolkewitz, Martin
Publicado: (2014) -
Censoring in survival analysis: Potential for bias
por: Ranganathan, Priya, et al.
Publicado: (2012)