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Activity Number: 513 - Topics in Monte Carlo Simulation
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #301730
Title: VIVID - Visualisation of Variable Importance Differences for Improved Understanding of Parkinson's Disease
Author(s): Samuel Mueller* and Connor Smith and Boris Guennewig
Companies: The University of Sydney and University of Sydney and University of Sydney
Keywords: stability selection; graphical methods; visualisation; resampling

In this talk, we present VIVID, a new statistical framework to better understand complex diseases such as Parkinson's. We will focus on our latest findings to deliver new statistical approaches to identify various types of interpretable feature representations that are prognostically informative in classifying such complex diseases.

We present new and robust ways to visualise valuable information from the thousands of resamples in modern selection methods that use repeated subsampling to identify what features predict best disease progression. We show that using subtractive lack-of-fit measures scales up well to large dimensional situations, making aspects of exhaustive procedures available without its computational cost.

Authors who are presenting talks have a * after their name.

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