Analysing the trend over time of antibiotic consumption in the community: a tutorial on the detection of common change-points
Author(s) -
Robin Bruyndonckx,
Samuel Coenen,
Niels Adriaenssens,
Ann Versporten,
Dominique L Monnet,
Herman Goossens,
Geert Molenberghs,
Klaus Weist,
Niel Hens,
Reinhild Strauß,
Eline Vandael,
Stefana Sabtcheva,
Marina Payerl-Pal,
Isavella Kyriakidou,
Jiřı́ Vlček,
Ute Wolff Sönksen,
Elviira Linask,
Emmi Sarvikivi,
Philippe Cavalié,
Tim Eckmanns,
Flora Kontopidou,
Mária Matúz,
Gudrun Aspelund,
Karen Burns,
Filomena Fortinguerra,
Andis Seilis,
Rolanda Valintėlienė,
Marcel Bruch,
Peter Zarb,
Stephanie Natsch,
Hege Salvesen Blix,
Anna Olczak-Pieńkowska,
Ana Martins da Silva,
Gabriel Adrian Popescu,
Tomáš Tesař,
Milan Čižman,
Antonio López Navas,
Vendela Bergfeldt,
Berit MüllerPebody
Publication year - 2021
Publication title -
journal of antimicrobial chemotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.124
H-Index - 194
eISSN - 1460-2091
pISSN - 0305-7453
DOI - 10.1093/jac/dkab180
Subject(s) - consumption (sociology) , quarter (canadian coin) , index (typography) , set (abstract data type) , data set , computer science , econometrics , operations research , statistics , geography , mathematics , artificial intelligence , social science , sociology , archaeology , world wide web , programming language
This tutorial describes and illustrates statistical methods to detect time trends possibly including abrupt changes (referred to as change-points) in the consumption of antibiotics in the community.
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