Create a Interactive Table for Adverse Events Analysis for Clinical Trials
Authors: Bingjun Wang, Yujie Zhao
yujie-website
Full Description:
Forest plot is an efficient visualization tool in clinical trial analysis & reporting to explore treatment effect in different sub-groups. Forest plot is usually delivered as a static report. To improve the user experience, we propose an R package, forestly, that can generate interactive forest plots. In this post we will share details of this R package and its several interactive features including filtering adverse event (AE) category of interest, drilling down to the subject-level details, and additional interactive features to reveal more information. We also highlights search bars and slide bars that are embedded for users to quickly find AE of interest within a desirable incidence range.
Table Type: interactive-HTML
Submission Type: Single Table Example
Table: RPubs - Create a Interactive Table for Adverse Events Analysis for Clinical Trials
Code: GitHub - Merck/forestly: Interactive forest plot for adverse events analysis
Language:
Industries: Paratheatrical .
Packages: reactable,