All Courses

Duration: 5 full days

Minimum of 6 people and maximum of 20

Course overview

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.

 

Start Date May 20, 2019
End Date May 24, 2019
Individual Price $2,995.00
Location Fort Collins, CO, USA
$2,995.00

We are no longer accepting registration for this event

(formerly Animal Agriculture and Food Safety Risk Analysis and Disease Modeling)

Duration: 5 full days

Minimum of 6 people and maximum of 20

Course overview

We have recently updated this ever-popular public course that has been successfully taught for over a decade. We have shortened its duration to five days to accommodate the busy schedule of participants, while maintaining its key features and reflecting the latest innovations in modeling methods and developments in the international risk analysis context. In addition, this training course is also unique by its case studies, which will guide participants through the main steps of the development of a risk assessment model.

Start Date October 14, 2019
End Date October 18, 2019
Individual Price $2,995.00
Location Fort Collins, CO, USA
$2,995.00

Duration: 2 full days

Minimum of 6 people and maximum of 15

The "Introduction to Quantitative Project Cost and Schedule Risk Analysis" course is designed to help those who wish to apply quantitative risk analysis modeling to project planning and cost estimation problems.

Course overview
  • Learn how to better understand a project's risk and uncertainty, and improve the operational management of risks during the execution of a project.
  • Learn how to employ risk modeling to increase the likelihood of winning profitable bids!
  • Understand the most important modeling techniques, methods and software tools available to perform and interpret project cost and schedule risk analyses using risk analysis and risk modeling techniques (including Monte Carlo simulation);
  • Learn and practice key project risk analysis techniques that will allow you to support more informed and aggressive bids as well as better manage risks on upcoming or existing projects.
  • Gain expert insight from EpiX Analytics; a world renowned risk analysis consultancy company with vast experience consulting to some of the nation's largest corporations as well as with numerous smaller, more specialized firms.
Start Date October 29, 2019
End Date October 30, 2019
Individual Price $1,490.00
$1,490.00

Duration: 3 full days

Minimum of 6 people and maximum of 15

Course overview

The course familiarizes you with risk analysis modeling environments (in this case @Risk or CrystalBall with Excel, but the lessons apply equally well to other modeling environments). The course will give you the ability to conduct, present and critique financial risk analysis that uses the latest methods. Concepts and topics covered in this course include the fundamentals of model building, probability theory, Monte Carlo simulation (using @Risk/CB or alternative modeling environments), using expert opinion, times-series modeling, including risk in NPV analysis and real option analysis.

 

Start Date November 13, 2019
End Date November 15, 2019
Individual Price $2,140.00
Location Boulder, CO, USA
$2,140.00

Duration: 5 full days

Minimum of 6 people and maximum of 20

Course overview

This course is designed for those people who already have some experience in risk analysis modeling a Monte Carlo simulation package for Excel such as @Risk or Crystal Ball, but wish to extend that knowledge.

The course provides an in-depth explanation of various concepts and techniques necessary for superior level risk assessments. Prior knowledge of the material covered in the Quantitative Risk Analysis course or equivalent, together with significant experience in risk modeling, will be needed.

The course is designed to encourage the modeler to develop creative problem solving skills to ensure that their analyses are decision-focused, accurately, efficient and the results presented in a manner that provides decision makers with the clearest and most helpful input

Start Date To be confirmed
Individual Price $2,995.00
$2,995.00

Duration: 2 full days

Minimum of 6 people and maximum of 15

Course overview

Analyzing the time to complete a project using project planning tools nearly always underestimates the time to completion. It is not the fault of the software or of the analysts, but of the use of 'best guess' values for task durations, etc. in the project plan. Risk analysis will allow you to avoid systematically underestimating project costs and durations.

The project risk analysis course is designed to help those who wish to apply quantitative risk analysis modeling to project planning problems.

 

 

 

Start Date To be confirmed
Individual Price $1,490.00
$1,490.00

Duration: 5 full days

Workshop overview

This is a workshop for risk analysts who are already very accomplished in the mathematical modeling of risk, and/or who have risk modeling problems that they wish to discuss amongst peers.

 

Start Date To be confirmed
Individual Price $2,995.00
$2,995.00

Duration: 2 full days

Minimum of 6 people and maximum of 15

Course overview

Learn how to use quantitative risk analysis (QRA) and risk modeling to improve decision-making in the drug development process from early drug development to clinical trials. For an article discussing the applications and benefits of using QRA and risk modeling in the pharmaceutical industry, read the following paper that EpiX Analytics co-authored for the magazine of the American Association of Pharmaceutical Scientists:

Start Date To be confirmed
Individual Price $1,490.00
$1,490.00

Duration: 2 full days

Minimum of 6 people and maximum of 15

Course overview

- Learn how to use risk analysis and modeling to improve strategic decision-making in finance, budgeting, business development (e.g. deal evaluations), R&D portfolio management, pricing decisions and forecasting, and marketing;

- Understand the most important modeling techniques, methods (including Monte Carlo simulation) and software tools available to perform and interpret risk analyses for companies in the pharmaceutical business;

- Learn and practice key risk analysis techniques that will allow you to support more informed and better decision making in your pharma business;

 

Start Date To be confirmed
Individual Price $1,490.00
$1,490.00

Duration: 2 days

Minimum of 6 people and maximum of 20

Course overview

This 2-day hands-on workshop will cover essential risk modeling methods available in food safety and animal health, particularly emphasizing microbial, antimicrobial, and trade risk analysis applications. Course participants will learn simulation and calculation methods in the R statistical language, while the solution to course exercises and models will also be provided in @RISK with Excel for those participants who may want to transition between software platforms. Participants will also learn how to select appropriate distributions, use data and expert opinion, and avoid common modeling mistakes. Example models from the instructors, including antimicrobial risk assessments, and animal health risk assessments will be used to reinforce the methods and best modeling practices discussed during the class.

 

 

 

 
Start Date To be confirmed
Individual Price $1,490.00
$1,490.00

Duration: 3 full days

Minimum of 6 people and maximum of 20 people

The Quantitative Risk Analysis (QRA) course is designed to provide participants with a practical overview and foundation of the use, approaches and diverse applications of quantitative risk analysis in supporting improved decision-making.

Course overview
  • Learn and practice the main principles and techniques in quantitative risk analysis (QRA);
  • Understand how to employ QRA to better understand risk and uncertainty and improve decision-making;
  • Learn to work with risk analysis modeling environments (in this case @RISK, Risk Solver or Crystal Ball with Excel, but the lessons apply equally well to other modeling environments);
  • Learn how to conduct accurate and effective quantitative risk analysis, including best practices of risk modeling, selecting the appropriate distribution, using data and expert opinion, and avoiding common mistakes, while also discussing how to use QRA in decision-making;
  • Gain expert insight from EpiX Analytics’ vast experience consulting to large and small organizations worldwide.
Start Date To be confirmed
Individual Price $2,140.00
Location Boulder, CO, USA
$2,140.00

Duration: 4 full days

Minimum of 6 people and maximum of 15

Course overview

This 4-day course will cover the core principles of quantitative risk analysis and the most important risk modeling principles, methods and techniques. The course will be taught using the R statistical language but the lessons apply equally well to other modeling environments. The focus of the course is 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 the participants with a solid understanding of quantitative risk analysis.

Start Date To be confirmed
Individual Price $2,495.00
$2,495.00

Duration: 4 full days

Minimum of 6 people and maximum of 15

Course overview

This 4-day course will cover the core principles of quantitative risk analysis and the most important risk modeling principles, methods and techniques. The course will be taught using the R statistical language but the lessons apply equally well to other modeling environments. The focus of the course is 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 the participants with a solid understanding of quantitative risk analysis.

Start Date To be confirmed
Individual Price $2,495.00
$2,495.00

Duration: 3 full days

Minimum of 6 people and maximum of 20

Course overview

This 3-day workshop will focus on important risk modeling principles and methods applied to translational research in drug development, while guiding participants through the main steps of building risk analysis models.

Module 1 (Day 1) of this 3-day workshop, will provide participants with a an introduction to risk analysis and Monte Carlo simulation. Participants will be introduced to distributions in modeling, visualization of probabilities, and a refresher in stochastic process.

In Module 2 (Day 2 & 3), participants will concentrate on fitting distributions, modeling uncertainty, sensitivity analysis, and example applications in early drug development.

Course location

The workshop will be held at Research Triangle in NC.

Start Date To be confirmed
Individual Price $2,140.00
$2,140.00

Projects

We believe in seeing to believe.

View our client success stories to read about our projects.

Testimonials

Once in a while, we ask our clients, course participants and co-investigators to provide us with testimonials of their experience working with us. Read what they're saying about us.

Brief History of EpiX Analytics

EpiX Analytics was founded in 2003 in Princeton, NJ under the Vose Consulting name, and among its offerings it included specialized software to perform Monte Carlo simulations. Read More >>