_Event Proposal: ADSIM-R: An Alzheimer's Trial Simulation Application _
_General Topic: ADSIM-R: _
Potential Presenter(s): Haoyu Wang, Dan Polhamus, Jim Rogers, Kaori Ito, Christian Rasmussen, Puneet Gaitonde, Klaus Romero, Brian Corrigan
Potential Timing: _Late July/Early August
_Duration: 20 -30 Minutes
Background
This Study Group will present on the use of a web based application for Clinical Trial Simulation for Alzheimer's Trials, presented by Doctoral Student Haoyu Wang, as Part of his Summer Student Internship at Pfizer. The goal was to develop a model-based web application of a previous R package developed ADSIM (1), that utilized a beta regression (BR) model to describe the longitudinal progression of the 11 item Alzheimer's disease (AD) assessment scale cognitive subscale (ADAS-cog) in AD patients in both natural history and randomized clinical trial settings, utilizing both individual patient and summary level literature data. The application allows rapid simulation-based estimation of rates of progression as a function of user-selected trial entry criteria, and is deployed on the ISOP R-shiny server, and allows allows easy use by drug development team members, including individuals without expertise in modeling and simulation.
_Event Proposal: ADSIM-R: An Alzheimer's Trial Simulation Application _
Potential Timing: _Late July/Early August _Duration: 20 -30 Minutes
Background
This Study Group will present on the use of a web based application for Clinical Trial Simulation for Alzheimer's Trials, presented by Doctoral Student Haoyu Wang, as Part of his Summer Student Internship at Pfizer. The goal was to develop a model-based web application of a previous R package developed ADSIM (1), that utilized a beta regression (BR) model to describe the longitudinal progression of the 11 item Alzheimer's disease (AD) assessment scale cognitive subscale (ADAS-cog) in AD patients in both natural history and randomized clinical trial settings, utilizing both individual patient and summary level literature data. The application allows rapid simulation-based estimation of rates of progression as a function of user-selected trial entry criteria, and is deployed on the ISOP R-shiny server, and allows allows easy use by drug development team members, including individuals without expertise in modeling and simulation.
ADSIM Training Document: adsim_training_doc.pdf
References:
1) http://rd.springer.com.proxy1.athensams.net/article/10.1007%2Fs10928-012-9263-3
Application Link: Forthcoming