Workshop for Society of Risk Analysis Annual Meeting

Sunday, December 3, 2006

8:00 am to 5:00 pm

 

Sensitivity Analysis Methods Applied to Exposure or Risk Assessment Models

 

Abstract

Registration

Venue

Syllabus Outline

Course Instructor Biographical Sketches

For More Information

 

Workshop Abstract

When should you perform sensitivity analysis? How do you prepare a model to facilitate sensitivity analysis? What are key considerations in the development of scenarios that are the basis for sensitivity analysis? What are some typical sensitivity analysis methods and how can you select among them? How should particular sensitivity analysis methods be applied? How should the results of sensitivity analysis be presented and interpreted? How are the methods applied to exposure or risk assessment model for identifying susceptible subpopulation and important pathways? This workshop will answer these questions. The methods and case studies that will be presented in this workshop are based upon several years of research at NC State University regarding transferring, applying, and adapting sensitivity analysis methods developed in other disciplines (e.g. complex engineering systems) to quantitative exposure and risk assessment models. One of the outcomes of this research is a guidance document regarding selection, application, and interpretation of sensitivity analysis methods applied to quantitative risk assessment models. This workshop helps practitioners in selecting specific sensitivity analysis methods that are relevant to a particular case study and to the characteristics of the model.  Practitioners can also use the instructions in the workshop to aid in interpreting results from a sensitivity analysis in response to a particular modeling objective. Workshop participants will be provided with course notes, a copy of the guidance document, and a tutorial with examples for instructing attendees how to perform sensitivity analysis using common sensitivity analysis methods. The methods will also be illustrated with two practical case study examples. This workshop is aimed at practitioners who are already familiar with basic concepts of statistics and probabilistic simulation and who wish to refine their knowledge regarding sensitivity analysis methods.

 

Presenters:

            Dr. Amirhossein Mokhtari

                       

 

This workshop builds upon research in areas of sensitivity analysis and related topics at North Carolina State University.

 

Return to Top

 

Registration

The registration fee is $295 before 3 November, or $355 on site. You do not need to register for the Annual Meeting to attend the workshop. Registration will be handled by

Secretariat sra@burkinc.com
Society for Risk Analysis http://depts.washington.edu/irarc/www.sra.org
1313 Dolley Madison Boulevard, Suite 402
McLean, Virginia 22101 USA
703-790-1745, fax 703-790-2672

Return to Top

Venue

The event will be held 8:00am - 5:30pm on Sunday, 3 December 2006, at

Renaissance Harborplace Hotel

202 East Pratt Street

Baltimore, Maryland 21202
Phone: 1-410-547-1200

1-800-535-1201
Fax: 1-410-539-5780
http://marriott.com/property/propertypage/BWISH

The SRA Annual Meeting will be held at the Renaissance Innerharbor Hotel. For reservations call (410-547-1200), or 1-800-535-1201, fax, (410) 539-5780, or for online reservations ( http://marriott.com/property/propertypage/bwish?groupCode=srasraa&app=resvlink ).  Rates for this meeting are $145 Single/Double plus tax and are available three days prior and after the meeting dates of December 3-6, 2006, subject to availability. SRA has reserved a block of rooms at the meeting rate.  Once this block of rooms is sold out, rooms may be available at the prevailing rate.  Reserve your room early.  The cut off for this rate is November 3, 2006 or until the SRA room block is sold out. Be sure to mention the Society for Risk Analysis to receive the special Meeting rate of $145 Single/Double.  Remember the cut off for this rate is November 3, 2006 or until the SRA room block is sold out.

 Return to Top

Syllabus (one day, 8am-5:30pm)

  1. Introduction of Presenters                                                                                     
  2. Introduction to Sensitivity Analysis                                                                         
  3. When Is It Necessary to Perform Sensitivity Analysis?                            
  4. How are Existing and New Models Prepared to Facilitate Sensitivity Analysis?
  5. Defining the Case Study Scenarios                                                                          
  6. Available Methods for Sensitivity Analysis and General Procedures for Application       
  7. Selection of Sensitivity Analysis Methods                                                                       
  8. Presentation and Interpretation of Results                                             
  9. Method Demonstration: Step-by-Step Tutorial with Examples              
  10. Discussion                                                                                                       
  11. Wrap-Up

 

Return to Top

Course Instructor Biographical Sketches

 

Dr. Amirhossein Mokhtari.  Dr. Amirhossein Mokhtari is now post-doc research fellow in the Department of Food Science at NC State University, and he conducts his research under the supervision of Dr. Lee-Ann Jaykus. Dr. Mokhtari worked under supervision of Dr Frey during his Ph.D. program at NC State University. His research is focused on developing quantitative microbial risk assessment models. Dr. Mokhtari has an extensive experience in application and evaluation of sensitivity analysis methods to quantitative exposure and risk assessment models. Dr. Mokhtari has been participating in preparing up to four technical reports to government agencies such as USDA and USEPA as a lead author or co-author. These projects have resulted in numerous peer-reviewed journal publications.

 

Return to Top

For more information…

 

contact Dr. Mokhtari at “amirh357 at yahoo.com” where “ at ” designates “@”

 

 

Return to Top

 

- last updated July 31, 2006.