Reply to “Questioning Bayesian Inference‐Based Models for Estimating Culprit Drugs for Adverse Drug Reactions”-Reference-Cited by-同舟云学术

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Reply to “Questioning Bayesian Inference‐Based Models for Estimating Culprit Drugs for Adverse Drug Reactions”

Published:2023-05-29 Issue:2 Volume:114 Page:260-261
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin Pharma and Therapeutics

Author:

Hamada Kazuki¹²^ORCID,Abe Takeshi³^ORCID,Kouda Kyoji⁴,Nakatsui Masahiko³,Kitahara Takashi⁴,Matsunaga Kazuto²,Asai Yoshiyuki¹³

Affiliation:

1. Department of Systems Bioinformatics, Graduate School of Medicine Yamaguchi University Yamaguchi Japan

2. Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine Yamaguchi University Yamaguchi Japan

3. AI Systems Medicine Research and Training Center, Graduate School of Medicine Yamaguchi University and Yamaguchi University Hospital Yamaguchi Japan

4. Department of Clinical Pharmacology, Graduate School of Medicine Yamaguchi University Hospital Yamaguchi Japan

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://ascpt.onlinelibrary.wiley.com/doi/pdf/10.1002/cpt.2935

Reference4 articles.

1. Questioning Bayesian inference‐based models for estimating culprit drugs for adverse drug reactions;Noguchi Y.;Clin Pharmacol Ther,2023

2. Estimating Culprit Drugs for Adverse Drug Reactions Based on Bayesian Inference

3. A Review of Statistical Methods for Safety Surveillance

4. The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

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