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Masterclass by Charles F. Manski: Personalised Patient Care under Uncertainty 28-29 March 2019


A masterclass given by Charles Manski (Northwestern) sponsored by CeMMAP and the Economics Research Initiative at Duke University, March 28-29 2019


This masterclass will focus on evidence-based decision making for patient care under uncertainty, in which clinicians face only limited ability to predict patients’ future illness and treatment response. To deal with this inherent uncertainty, partial identification analysis can be applied to make credible predictions for patient outcomes. This analysis motivates the use of decision criteria with well understood properties. Particular focus will be given to the minimax-regret criteria, which specifies a decision rule as uniformly close to the optimal decision rule as possible given the underlying uncertainty of patient outcomes.

Personalised Patient Care under Uncertainty

Recent publications

Network and panel quantile effects via distribution regression

12 December 2018
Victor Chernozhukov , Ivan Fernandez-Val and Martin Weidner

Equality-minded treatment choice

12 December 2018
Toru Kitagawa and Aleksey Tetenov

High dimensional semiparametric moment restriction models

04 December 2018
Chaohua Dong , Jiti Gao and Oliver Linton

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Centre for Microdata Methods and Practice

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