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Project Scope

Development of R-shiny application(s) an open-source tool and package to enable the generation of identified of identified interactive plots for clinical review and direct inclusion in submission packages for submissions to regulatory agencies. Initial The initial scope is to develop tools a package to generate interactive forest and volcano plots for adverse events and FDA Medical Queries (FMQs) analysis outputs for inclusion in submission submissions to the FDA. This work is in conjunction with a collaboration among the American Statistical Association (ASA), PHUSE and the FDA.



Project Leads

Email

Melvin Munsaka, Abbvie

melvin.munsaka@abbvie.com

Lauren White (PHUSE Project Coordinator)lauren@phuse.global

Jiang (Jessica) Hu, FDA

jiang.hu@fda.hhs.gov

Neetu Sangari, Pragya Tech Leadersneetusang@gmail.com
Kerry Robson, PHUSE Project Assistant

kerry@phuse.global


Q3/42021

· Stage 1 forest plot prototype completed (available @ https://github.com/phuse-org/aesummaries; example @ https://forest-plot.netlify.app/).

· Requirements for aesthetic improvement for the forest plot update for the Stage 1 prototype have been finalised.

· Requirements for the volcano plot have been finalised.

· Draft outline and literature review for the accompanying paper for Stage 1 has been completed and writing will start in November.

Eli Lilly
Objectives and DeliverablesTimelines
Develop and Complete a prototype Q2 2021 
Develop a R-shiny application Q3 2021

Status
colourBlue
titleCurrent Status

Project Members 

Organisation 

Hanming Tu 

Frontage Laboratories

Ivan Zou

Sanofi

Jeremy Wildfire

Gilead

Kyle Wathen  

Gilead

Mary Nilsson  

Eli Lilly

Mike Stackhouse

Atorus Research
Minchen WangGilead
Neetu SangariPfizer

Ting Zhang

Sanofi
Vaishali Popat

FDA

Vipin Arora

Eli Lilly 

Zachary Skrivanek

Q1 2024

  • Participation at the CSS
  • Presentation at the FDA



Objectives & DeliverablesTimelines
An open-source R Shiny tool for generating the plots and associated outputs and an accompanying paper for the toolQ3 2022
Complete manuscriptQ4 2024