centre for microdata methods and practice

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Cemmap provides a focus for development, understanding and application of methods for modelling individual behaviour, the influences on it and the impact of policy interventions. Read more

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  • Workshop
    Personalised Treatment: Learning and Decision
  • Masterclass
    Personalised Patient Care under Uncertainty
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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

Discrete choice under risk with limited consideration

18 February 2019
Levon Barseghyan , Francesca Molinari and Matthew Thirkettle

Best linear approximations to set identified functions: with an application to the gender wage gap

18 February 2019
Arun Chandrasekhar , Victor Chernozhukov , Francesca Molinari and Paul Schrimpf

Financial transaction taxes and the informational efficiency of financial markets: a structural estimation

06 February 2019
Marco Cipriani , Antonio Guarino and Andreas Uthemann

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Centre for Microdata Methods and Practice

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