This unit combines decision theory and more advanced health economic concepts to provide students with hands-on skills in specialised analysis methods, and modelling techniques, for evaluating healthcare options and reaching recommendations in the face of uncertainty. Students will calculate and analyse data from clinical studies, extrapolate clinical study results to other settings, and construct models that synthesise evidence from multiple sources. Specific topics of study include: decision trees; expected utility theory; sensitivity and threshold analysis; the value of information (including screening and diagnostic tests); the calculation and analysis of costs and quality-adjusted survival using individual patient data (including bootstrapping techniques); Markov processes and micro-simulation; extrapolation of time to event data for economic analysis and presenting and interpreting the results of (health economic) evaluations. Lectures are accompanied by practical exercises and readings. Students gain experience applying the methods presented in lectures via computer practicals using Excel, decision analysis software (TreeAge), and statistical packages such as R.
|Academic unit||Public Health|
|(PUBH5010 or CEPI5100 or BSTA5011) and (PUBH5018 or FMHU5002 or BSTA5002)|
|PUBH5205 or PUBH5307|
At the completion of this unit, you should be able to:
Unit outlines will be available 1 week before the first day of teaching for the relevant session.