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
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..View full description
Related publications (2)
Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians.
Courtney Macdonald, Danielle Mazza, Martha Hickey, Morgan Hunter, Louise A Keogh, kConFab Investigators, Sandra C Jones, Christobel Saunders, Stephanie Nesci, Roger L Milne, Sue-Anne McLachlan, John L Hopper, Michael L Friedlander, Jon Emery, Kelly-Anne Phillips
Background: This study examined why women and doctors screen for ovarian cancer (OC) contrary to guidelines. Methods: Surveys, bas..
The cognitive, affective, social and environmental drivers of inappropriate ovarian cancer screening: A survey of women and their clinicians using the theoretical domains framework
C Macdonald, D Mazza, M Hickey, M Hunter, LA Keogh, SC Jones, C Saunders, S Nesci, RL Milne, SA McLachlan, J Hopper, M Friedlander, J Emery, KA Phillips