Incorporating Risk in Early-Stage Forecasts

Forecasting for products that are early in clinical development is challenging

Uncertain future clinical performance and environmental risk factors (e.g., competitive, regulatory, pricing, and market access) combine to raise the level of difficulty in developing product forecasts. In these situations, rather than focusing on point forecast estimates, communicating the range of possible forecast outcomes and their likelihood provides a more useful foundation for decision-making. In this webinar we outline approaches for incorporating risk in early-stage forecasts.

KEY POINTS DISCUSSED:

  • checkNew machine learning tools for quantifying clinical uncertainty
  • checkPrimary research methods to fill information gaps for novel molecules and market situations
  • checkStrategies for effectively communicating forecast risk to internal stakeholders

Webinar Video

Cover image for vaccine forecasting webinar
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