[Population Modeling] Webinar: A Probabilistic Tool to Quantify the Effects of Population Variability & Model Uncertainty

[Joy P. Ku]

Thought this might be of interest to this group...  

 

Joy

 

 

Title: Probabilistic Tool to Quantify the Effects of Population
Variability & Model Uncertainty
Speakers: Dr. Bradley Davidson and Casey Myers, University of Denver 
Time: Thursday, December 4, 2014 at 10:00 a.m. Pacific Standard Time

Registration: The event is free but registration
<https://simtk.webex.com/mw0401l/mywebex/default.do?nomenu=true&siteurl=si
mtk&service=6&rnd=0.30674914706741785&main_url=https%3A%2F%2Fsimtk.webex.c
om%2Fec0701l%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%2
6confViewID%3D1750664783%26%26EMK%3D4832534b0000000285ad8fea272289ffa2c075
58ada5043d8d55729831e90328f9b15c6a11ebb7da%26%26%26siteurl%3Dsimtk>  is
required.

 

 

Uncertainty that arises from measurement error and parameter estimation
can significantly affect the interpretation of musculoskeletal
simulations; however, these effects are rarely addressed. The objective of
this study was to develop an open-source probabilistic musculoskeletal
modeling framework to assess how measurement error and parameter
uncertainty propagate through a gait simulation.

In this webinar we will: 

.        Introduce underlying concepts of model uncertainty probabilistic
analyses within a framework of reliability analysis

.        Provide practical examples of topics that can be addressed using
probabilistic analyses in OpenSim

.        Demonstrate how to perform probabilistic analyses in OpenSim
using our recently developed probabilistic plugin for OpenSim

We will use two probabilistic approaches (Monte Carlo and Advanced Mean
Value) to quantify confidence bounds, calculate sensitivity factors, and
visualize the results at each stage of musculoskeletal analyses.

We anticipate this webinar will be helpful for: 

.        Biomechanical and computational researchers interested in how
model uncertainty and population based variability affects simulation
outputs

.        Clinicians exploring new and innovative ways to use results from
population-based analysis in their research/practice

.        OpenSim users interested in adapting the tool to model
problem-specific conditions.

The model, simulation files, and code used during the webinar are provided
on our Simtk project page  <https://simtk.org/home/prob_tool>
https://simtk.org/home/prob_tool. They can be used during the webinar and
later as a guide to build simulation-specific probabilistic analyses.

 

 

---

Joy P. Ku, PhD

Director,   <http://simbios.stanford.edu/> Simbios

Director of Communications & Training,  <http://opensim.stanford.edu/>
NCSRR

Director of Communications & Engagement,  <http://mobilize.stanford.edu/>
Mobilize Center

Stanford University

(w)  650.736.8434, (f)  650.723.7461

Email:   <mailto:joyku at stanford.edu> joyku at stanford.edu

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