Visualizing adverse events in clinical trials using correspondence analysis with R-package visae

Visualizing adverse events in clinical trials using correspondence analysis with R-package visae

Abstract Background Graphical displays and data visualization are essential components of statistical analysis that can lead to improved understanding of clinical trial adverse event (AE) data. Correspondence analysis (CA) has been introduced decades ago as a multivariate technique that can communic...

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Bibliographic Details
Main Authors: Márcio A. Diniz, Gillian Gresham, Sungjin Kim, Michael Luu, N. Lynn Henry, Mourad Tighiouart, Greg Yothers, Patricia A. Ganz, André Rogatko
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Medical Research Methodology
Subjects:
Data visualization
Correspondence analysis
Adverse event
CTCAE
Clinical trials
Online Access:https://doi.org/10.1186/s12874-021-01368-w

Internet

https://doi.org/10.1186/s12874-021-01368-w

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