PhUSE Webinar 16 November 2016
Standard Analyses and Code Sharing – Project Update
(PhUSE Computational Science Working Group)
Standard Analyses and Code Sharing Project Update (PhUSE - - PowerPoint PPT Presentation
Standard Analyses and Code Sharing Project Update (PhUSE Computational Science Working Group) PhUSE Webinar 16 November 2016 Working Group Vision/Goals Leverage crowd-sourcing to improve the content and implementa6on of analyses for medical
(PhUSE Computational Science Working Group)
– Establish and maintain a publicly available repository for storing program code to be used as analy6cal tools for medical research. – Where gaps exist, develop recommenda6ons for analyses and displays in areas that could benefit from crowd-sourcing. – Where gaps exist, develop code for recommended analyses and displays that could benefit from crowd-sourcing (to reside in the repository).
Data Collec6on Systems Observed Datasets Analysis Datasets Tables, Figures and Lis6ngs
Clinical Data Flow
Trial Design
PRM SDTM ADaM
No TFL Stds Exist Industry Standards Alignment
CDASH
CFAST (Therapeu6c Areas)
Repository: Standard Qualified Scripts
SAS Cloud
Whitepaper Scripts Contributed Scripts
R Studio
Script Repository (4 projects) Analyses and Display White Papers
(ADW, Mary Nilsson) Communica6on, Promo6on, Educa6on (CPE, Jared Slain and Wendy Dobson)
Script Discovery and Acquisi6on (SDA, Rebeka Revis, Michael Man) Repository Content and Delivery (RCD, Gustav Bernard, Andrew Miskell) Repository Governance and Infrastructure (RGI, Mike Carniello, Hanming Tu)
– Received scripts that are part of FDA’s JumpStart service
– First draa of scripts have been tested – Scripts are currently being updated to create a more user-friendly package
– The working group will need script reviewers/testers once the updates are completed – Outlining differences between JumpStart output and white papers is in progress – Instruc6onal presenta6on at 2016 PhUSE Annual Conference
papers, star6ng with ADaM data
ADaM variables
– MIT license chosen: h;ps://github.com/phuse-org/phuse-scripts/blob/master/LICENSE.md – Qualifica6on guidelines developed:
h;p://www.phusewiki.org/wiki/index.php?6tle=WG5_Project_02#Qualifica6on_Process
– User-friendly front end developed:
h;ps://github.com/phuse-org/phuse-scripts/wiki/Simple-Index
– Repository has been updated to have a place to store scripts developed by other groups:
– More people have joined the development team (28 now):
h;ps://github.com/orgs/phuse-org/people
– Several PhUSE projects develop scripts/concepts that need to be tested with trial datasets – Use of CDISC pilot datasets and/or datasets from team members for tes6ng isn’t sufficient in many cases
– Determine test dataset requirements (like # of subjects, observa6on parameters, etc.) – Implement scripts that create ‘simulated’ SDTM and/or ADaM data sets – Publish datasets, and if possible, user-configurable scripts
– Project co-lead: Peter Schaefer (pschaefer@vca-plus.com)
– Project team mee6ngs will start – Working on scope specifica6on and priori6es – Need addi6onal members
– Adverse events, concomitant medica6ons, study disposi6on, reasons for permanent discon6nua6on from study treatment – Will poten6ally lead to increased efficiency (site personnel won’t have to learn as many collec6on methods) and fewer queries (less confusion by site personnel), – Will enable more standardiza6on in data, analyses, displays – Project lead iden6fied (Todd Bazin) – If approved, will be managed by the Op6mizing the Use of Data Standards Working Group
– Vital Signs, ECGs, Labs - Central Tendency
– Non-Compartmental Pharmacokine6cs
– Demographics, Disposi6on, and Medica6ons
– Vital Signs, ECGs, Labs – Outliers and Shias
– QT Studies
How to find final white papers: Go to www.phuse.eu, Click on CS Working Groups, Click on CS Deliverables Catalog
– Hepatotoxicity
– Forward to any exis6ng standards groups – Link to white papers from Sta6s6cal Analysis Plans
– Write, Test, Qualify, Review, Improve
ready for review)