Quantitative Risk Analysis and Disease Modeling in Epidemiology - (5 days)
Duration: 5 full days
Minimum of 6 people and maximum of 20
This course will cover the key principles of quantitative risk analysis in epidemiology and the most important risk modeling principles, methods and techniques available. Unlike other training courses in risk analysis, we dedicate a portion of the course to the modeling of epidemic and endemic diseases, and how resulting outputs can be used in risk assessments.
The course provides participants with hands-on skills to effectively use a risk modeling software environment. For this training, @RISK with Excel and a few examples with the statistical software R are used, but the lessons apply equally well to other modeling environments. Rather than just learning how to use software, the course focuses on how to conduct accurate and effective quantitative risk analyses, including best practices of risk modeling, selecting the appropriate distribution, 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.
Please review the prerequisites section before attending the course. The requirements are very basic but ensuring that all participants arrive with this basic level prevents us from spending too much time on familiarization with Excel® rather than learning about risk assessment modeling.
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. Group dinners will be provided on Thursday. The course will be delivered in English.
Who should attend?
Professionals working in risk assessments in animal health, human health, food safety, and plant pathology, and risk managers who have some basic knowledge of spreadsheets and simulation modeling. The course is also well suited for scientists providing input to a risk assessment.
Prerequisites and required software
Participants will be primarily using @RISK® (version 5.0 or newer) with Excel® to solve the exercises, but participants can also choose to use alternative Monte Carlo simulation software.
It is important that participants have basic to intermediate working knowledge of Excel. However, no prior experience with @RISK or other simulation tools is required. The R software environment for statistical computing and graphics (R®) will also be used during some sessions.
- Trial versions of @RISK® can be downloaded from Palisade's website. As the trial license of @RISK® lasts 15 days, participants should install it only a few days before the course.
- R® is free and can be downloaded from the Comprehensive R Archive Network.
In addition to @RISK® and Excel®, and R® participants are required to bring computers with a pdf reader installed, and with a functional USB drive.
Participants very proficient in R® can work through the exercises using this software environment. The instructors will help them solve their problems, but the solutions to group problems will be shown in Excel® and @RISK®.
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.
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
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.
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.
|* Early registration - 10% off registration (register and pay 30 days before course start date)|
|* Government - 5% off registration (Proof of eligibility requested after registration)|
|* Student - 25% off registration (Proof of eligibility requested after registration)|
|* Please send an email to firstname.lastname@example.org to obtain a discount Code for either the Early Registration, Government, or Student discount.|
|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 send an email to email@example.com to inquire about courses not currently scheduled.
|Start Date||May 20, 2019|
|End Date||May 24, 2019|
|Location||Fort Collins, CO, USA|