Comparison of multistate model, survival regression, and matched case–control methods for estimating excess length of stay due to healthcare-associated infections

doi:10.1016/j.jhin.2022.04.010

Comparison of multistate model, survival regression, and matched case–control methods for estimating excess length of stay due to healthcare-associated infections

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	44-51
Number of pages	8
Journal	Journal of Hospital Infection
Volume	126
DOIs	https://doi.org/10.1016/j.jhin.2022.04.010
Publication status	Published - Aug 2022
Externally published	Yes

ASJC Scopus Subject Areas

Microbiology (medical)
Infectious Diseases

Keywords

Excess length of stay
Healthcare-associated infections
Time-varying approaches

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jhin.2022.04.010

Cite this

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title = "Comparison of multistate model, survival regression, and matched case–control methods for estimating excess length of stay due to healthcare-associated infections",

keywords = "Excess length of stay, Healthcare-associated infections, Time-varying approaches",

note = "Publisher Copyright: {\textcopyright} 2022 The Healthcare Infection Society",

year = "2022",

month = aug,

doi = "10.1016/j.jhin.2022.04.010",

language = "English",

volume = "126",

pages = "44--51",

journal = "Journal of Hospital Infection",

issn = "0195-6701",

publisher = "W.B. Saunders Ltd",

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PY - 2022/8

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KW - Excess length of stay

KW - Healthcare-associated infections

KW - Time-varying approaches

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DO - 10.1016/j.jhin.2022.04.010

M3 - Article

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AN - SCOPUS:85131395174

SN - 0195-6701

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JO - Journal of Hospital Infection

JF - Journal of Hospital Infection

ER -

Comparison of multistate model, survival regression, and matched case–control methods for estimating excess length of stay due to healthcare-associated infections

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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