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Poster

A Framework for Interactive Ad-hoc Request Handling: Empowering Clinical Insights through Interactive Plots

Changhong Shi, Jaime Yan, Chao Su

PHUSE/FDA Computational Science Symposium (CSS) 2023 · 2023 · PP20

DOI · 10.5281/zenodo.22182908 Download PDF

Abstract

This poster presents a framework for producing interactive plots to handle ad-hoc analysis requests in the clinical domain. It standardizes the end-to-end process — Anaconda-based environment setup, package version control via renv/pipenv lock files, Jupyter Lab as the IDE, interactive visualization with Plotly (Python) and ggplot2 plus Plotly/htmlwidgets (R), and portable self-contained HTML output — with results validated by crosschecking between SAS, R, and Python. Example outputs include swimmer, waterfall, and Kaplan-Meier plots with drop-downs and range sliders.

Keywords

ad-hoc requests · interactive plots · Plotly · statistical programming · HTML output

Cite

Changhong Shi, Jaime Yan, Chao Su. "A Framework for Interactive Ad-hoc Request Handling: Empowering Clinical Insights through Interactive Plots." PHUSE/FDA Computational Science Symposium (CSS) 2023, 2023. doi:10.5281/zenodo.22182908.