STAT0019 Bayesian Methods in Health Economics

Level	Credits	Term	Type
7	15	2	Departmental

Module description

This module aims to provide an introduction to Bayesian analysis and Markov Chain Monte Carlo (MCMC) methods using R and MCMC sampling software (such as BUGS or JAGS), as applied to cost-effectiveness analysis and the typical models used in health economic evaluations. Emphasis will be placed on the practical side of Bayesian inference.

Further details are available in the STAT0019 UCL Module Catalogue entry.

Standard prerequisites

STAT0039

Registration process

STAT0019 is specified as a formal option within the MSc Health Economics and Decision Science programme. Students from this programme who have taken the standard prerequisite should simply register for STAT0019 on Portico and await a decision.

STAT0019 is NOT offered as an elective.

This webpage part of a guide to modules offered by the Department of Statistical Science that are available to students registered in other UCL departments and should be read in conjunction with the general information on the front page of the guide.