Comment on: Exploring the impact of design criteria for reference sets on performance evaluation of signal detection algorithms: The case of drug–drug interactions

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Vydané v:Pharmacoepidemiology and drug safety Ročník 33; číslo 1; s. e5722 - n/a
Hlavní autori: Noguchi, Yoshihiro, Yoshimura, Tomoaki
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Chichester, UK John Wiley & Sons, Inc 01.01.2024
Wiley Subscription Services, Inc
Predmet:
Algorithms
Drug interaction
Drug Interactions
Humans
ISSN:1053-8569, 1099-1557, 1099-1557
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Author Yoshimura, Tomoaki
Noguchi, Yoshihiro
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  organization: Gifu Pharmaceutical University
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  givenname: Tomoaki
  surname: Yoshimura
  fullname: Yoshimura, Tomoaki
  email: yoshimurat@gifu-pu.ac.jp
  organization: Gifu Pharmaceutical University
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Cites_doi 10.1038/s41597‐022‐01159‐y
10.3389/fphar.2019.01319
10.1007/s00228‐017‐2233‐3
10.1007/s11095‐020‐02801‐3
10.1002/pds.5609
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  article-title: Utilization of chi‐square statistics for screening adverse drug‐drug interactions in spontaneous reporting systems
  publication-title: Eur J Clin Pharmacol
– volume: 9
  start-page: 72
  year: 2022
  article-title: A reference set of clinically relevant adverse drug‐drug interactions
  publication-title: Sci Data
– volume: 37
  start-page: 86
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  article-title: Comparison of signal detection algorithms based on frequency statistical model for drug‐drug interaction using spontaneous reporting systems
  publication-title: Pharm Res
– volume: 10
  start-page: 1319
  year: 2019
  article-title: Review of statistical methodologies for detecting drug‐drug interactions using spontaneous reporting systems
  publication-title: Front Pharmacol
– volume: 32
  start-page: 832
  year: 2023
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  article-title: Exploring the impact of design criteria for reference sets on performance evaluation of signal detection algorithms: the case of drug‐drug interactions
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SubjectTerms Algorithms
Drug interaction
Drug Interactions
Humans
Title Comment on: Exploring the impact of design criteria for reference sets on performance evaluation of signal detection algorithms: The case of drug–drug interactions
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