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Correction: Usefulness of dynamic regression time series models for studying the relationship betwee...

Correction: Usefulness of dynamic regression time series models for studying the relationship betwee...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acdb625e1acc4e10b3d811b9fee8cd89

Correction: Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

About this item

Full title

Correction: Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

Publisher

England: BioMed Central Ltd

Journal title

Antimicrobial resistance & infection control, 2024-03, Vol.13 (1), p.33-33, Article 33

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

Subjects

Subjects and topics

More information

Scope and Contents

Contents

Department of Pharmacy, Nimes University Hospital, Nimes, France Paul Laffont-Lozes & Geraldine Leguelinel-Blache 2. Infectious and Tropical Diseases Department, Nimes University Hospital, Nimes, France Paul Laffont-Lozes, Romaric Larcher, Albert Sotto & Paul Loubet 3. Department of Biostatistics, Epidemiology, Public Health, and Innovation in Meth...

Alternative Titles

Full title

Correction: Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_acdb625e1acc4e10b3d811b9fee8cd89

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acdb625e1acc4e10b3d811b9fee8cd89

Other Identifiers

ISSN

2047-2994

E-ISSN

2047-2994

DOI

10.1186/s13756-024-01387-4

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