Introduction to Quantitative Risk Analysis in Animal Health and Food Safety - (3 days)
Duration: 3 full days
This hands-on workshop will cover the key principles of quantitative risk analysis in epidemiology and food safety, and the most important risk modeling principles and methods available. The participants will learn to use different risk analysis modeling environments (in this case @RISK with Excel, and some examples with the statistical software R, but the lessons apply equally well to other modeling environments). The workshop will focus on how to conduct effective quantitative risk analyses, including best practices for risk modeling, selecting appropriate distributions, using data and expert opinion, and avoiding common mistakes. The course will also cover essential probability and statistics theory and various stochastic processes to provide participants with a solid understanding of the foundations of quantitative risk analysis.
We will provide lecture notes both in hardcopy and on flash drive. This drive also contains all model files produced for the course. Any extra models developed during the course are downloadable from a private course website.
The course runs from 09:00 to 17:00 each day, but registrations on the first day begin at 8:30am. Morning and afternoon coffee and lunch are provided. A group dinner will be provided one evening. The course will be delivered in English.
Who should attend
Anyone that needs to conduct, present or critique quality risk analyses in animal health, veterinary epidemiology, and/or food safety.
Prerequisites and required software
Participants will be primarily using @RISK (version 5.0 or newer) with Microsoft Excel to solve the exercises. It is important that participants have basic working knowledge of Excel. However, no prior experience using @RISK or other simulation tool is required. However, participants can also choose to use another Monte Carlo package of their choice. Trial versions of @RISK can be found from Palisade's website here. As the trial license of @RISK lasts 15 days, participants should install it only a few days before the course.
Participants very proficient in the R statistical language can develop the exercises using this platform. The instructor will help them solve their problems, but the solutions to group problems will be shown in Excel and @RISK.
All of EpiX Analytics' courses aim to help the participants understand risk analysis from the bottom-up, which is achieved through a relaxed, informal and interactive environment using plenty of examples and hands-on exercises where students apply and adapt what they have learned.
ModelAssist is a comprehensive risk analysis training reference and is free of cost. This reference tool provides an in-depth explanation of all of the risk analysis concepts, techniques and methods introduced in this course, and greatly complements the course material. ModelAssist can be downloaded or accessed directly online from our website.
Lodging and transportation
Course participants must arrange their own accommodation. However, we will be happy to provide information and alternatives for your travel arrangements. After you complete your registration form, please let us know that you will need our help.
Our training courses provide an opportunity to develop or extend your professional network. We therefore arrange optional fun, interactive social events which take advantage of local attractions, cuisine, and culture. All social events are included in the course fee.
|* Early registration - 10% off registration (register and pay 30 days before course start date)|
|* Government/Academic - 5% off registration (Proof of eligibility requested after registration)|
|* Student - 25% off registration (Proof of eligibility requested after registration)|
|* Please contact us to obtain the discount code that you qualify for.
|3 registrants - 17% off total registration|
|4 registrants - 25% off total registration|
|5+ registrants - please contact us for special discount rate|
Please note that discount rates cannot be combined. Discounts exclude online courses via statistics.com and joint courses offered with other institutions.
Please contact us to inquire about courses not currently scheduled.
|Start Date||May 22, 2017|
|End Date||May 24, 2017|
|Location||Fort Collins, CO, USA|