Journal article icon

Journal article

Estimating the effect of healthcare-associated infections on excess length of hospital stay using inverse-probability weighted survival curves

Abstract:

Background Studies estimating excess length of stay (LoS) attributable to nosocomial infections have failed to address time-varying confounding, likely leading to overestimation of their impact. We present a methodology based on inverse probability-weighted (IPW) survival curves to address this limitation. Methods A case-study focusing on intensive care unit-acquired bacteraemia using data from two general ICUs from two London teaching hospitals were used to illustrate the methodology. The a...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Role:
Author
ORCID:
0000-0001-7097-8950

Contributors

Role:
Contributor
Publisher:
Oxford University Press
Journal:
Clinical Infectious Diseases More from this journal
Volume:
71
Issue:
9
Pages:
e415-e420
Publication date:
2020-02-12
Acceptance date:
2020-02-04
DOI:
EISSN:
1537-6591
ISSN:
1058-4838
Language:
English
Keywords:
Pubs id:
1087379
Local pid:
pubs:1087379
Deposit date:
2020-02-13

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP