Translating Evidence Into Practice: Optimising And Facilitating Prevention And Screening In Women With A Strong Family History Of Breast Cancer

Grant number: 1100868 | Funding period: 2016 - 2019

Completed

Abstract

Optimization models and methods are widely used in decision problems. Incorporating parameter uncertainty is important in constructing representative optimization models. This parameter uncertainty may be described by a probability distribution, the moments of a probability distribution, or using bounds and confidence intervals on moments. When estimating uncertain parameters, information is also available on the error distribution of the estimated parameter. The research objective of this award is to study properties and develop algorithmic methods for solving multivariate optimization models that incorporate parameter uncertainty using limited knowledge on their distribution, and the param..

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