Outline:

Novel high-dimensional measurement technologies (e.g. from genomics) give complex information that can be used to individualise medical treatment decisions, along with clinical information and treatment preferences. Such complex decision processes can be supported by developing statistical models that map how which piece of information can be optimally integrated. In addition, perception and processing of risk and uncertainty in humans is not always best described by axiomatic probability. Empirically studies by behavioural economists and psychologists have lead to alternative models which need to be integrated into decision models based on normative theory. Students working in this area can benefit from the wider community Decision Research at Warwick (DR@W) which offers seminars, networking, workshops and data collection opportunities.