Risk Analysis in Pharma

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:

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;

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.