14-15th January 2016
CMIST, Humanities Bridgeford Street
Many quantitative researchers in the social and health sciences will be required to analyse data with a hierarchical or multilevel structure, or with missing or mis-measured values, at some point in their careers. Bayesian methods offer a natural approach to handling these types of problems, through their ability to specify distributions both for model parameters and for missing or imprecisely measured data. This two-day course provides researchers who already have some basic understanding of Bayesian methods with a more in-depth treatment of applied Bayesian methods for modelling data with complex structure.
For more information and to book: http://www.ncrm.ac.uk/training/show.php?article=5787