20 Credits ACADEMIC YEAR



Aims/Description: The module addresses two areas of statistical thinking and methodology, both important for medical applications. The first is the Bayesian approach to inference and decision-making, in which uncertainty in our knowledge is described by probabilities and combined optimally with observational information. The module introduces both the fundamental concepts of Bayesian inference and practical computational methods for implementation. The second part introduces a variety of clinical trial designs found in both commercial companies and in technology evaluation. The range is from laboratory early Phase trials, through pharmaceutical trials to evaluation of health technology, including evaluation of the economic component of trials.

Staff Contact: JORDAN JONATHAN H
Teaching Methods: Lectures, Independent Study
Assessment: Formal Exam, Course work, Project/ portfolio

Information on the department responsible for this unit (Mathematics and Statistics):

Departmental Home Page
Teaching timetable

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NOTE
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK