Efficient methods for signal detection from correlated adverse events in clinical trials-Reference-Cited by-同舟云学术

Efficient methods for signal detection from correlated adverse events in clinical trials

Published:2019-03-29 Issue:3 Volume:75 Page:1000-1008
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Diao Guoqing¹^ORCID,Liu Guanghan F.²,Zeng Donglin³^ORCID,Wang William²,Tan Xianming³,Heyse Joseph F.²,Ibrahim Joseph G.³

Affiliation:

1. Department of StatisticsGeorge Mason University Fairfax Virginia

2. Merck & Co., Inc. North Wales Pennsylvania

3. Department of BiostatisticsUniversity of North Carolina at Chapel Hill Chapel Hill North Carolina

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13031

Reference39 articles.

1. Pharmacovigilance Data Mining With Methods Based on False Discovery Rates: A Comparative Simulation Study

2. Early Detection of Pharmacovigilance Signals with Automated Methods Based on False Discovery Rates

3. A Bayesian neural network method for adverse drug reaction signal generation

4. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

5. Accounting for Multiplicities in Assessing Drug Safety: A Three-Level Hierarchical Mixture Model

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2. BAHAMA: A Bayesian Hierarchical Model for the Detection of MedDRA®-Coded Adverse Events in Randomized Controlled Trials;Drug Safety;2022-07-15

3. Assessing safety at the end of clinical trials using system organ classes: A case and comparative study;Pharmaceutical Statistics;2021-06-24

4. Expedited Safety Reporting to Sponsors Through the Implementation of an Alert System for Clinical Trial Management at an Academic Medical Center: Retrospective Design Study;JMIR Medical Informatics;2020-02-23