Statistical learning in preclinical drug proarrhythmic assessment-Reference-Cited by-同舟云学术

Statistical learning in preclinical drug proarrhythmic assessment

Published:2022-05-04 Issue:3 Volume:32 Page:450-473
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Xi Nan Miles¹,Hsu Yu-Yi²,Dang Qianyu²,Huang Dalong Patrick²

Affiliation:

1. Department of Mathematics and Statistics, Loyola University Chicago, Chicago, Illinois, USA

2. Office of Biostatistics, Office of Translational Science, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA

Funder

ORISE

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2022.2065505

Reference65 articles.

1. 2017 AHA/ACC/HRS Guideline for Management of Patients With Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death: Executive Summary

2. Permutation importance: a corrected feature importance measure

3. A new paradigm for drug-induced torsadogenic risk assessment using human iPS cell-derived cardiomyocytes

4. Mexiletine Prevents Recurrent Torsades de Pointes in Acquired Long QT Syndrome Refractory to Conventional Measures

5. International Multisite Study of Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes for Drug Proarrhythmic Potential Assessment

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