This online unit with an optional face-to-face component introduces the concept of clinical epidemiology and provides students with core skills in clinical epidemiology at an introductory level. Topics covered include asking and answering clinical questions; basic and accessible literature searching techniques; study designs used in clinical epidemiological research; confounding and effect modification; sources of bias; interpretation of results including odds ratios, relative risks, confidence intervals and p values; applicability of results to individual patients; critical appraisal of clinical epidemiological research literature used to answer questions of therapy (RCTs and systematic reviews), harm, prognosis, diagnosis and screening; applicability of results to individual patients; and evidence-based use of health resources.

This unit provides students with core skills in epidemiology, particularly the ability to critically appraise public health and clinical epidemiological research literature regarding public health and clinical issues. This unit covers: study types; measures of frequency and association; measurement bias; confounding/effect modification; randomized trials; systematic reviews; screening and test evaluation; infectious disease outbreaks; measuring public health impact and use and interpretation of population health data. In addition to formal classes or their on-line equivalent, it is expected that students spend an additional 2-3 hours at least each week preparing for their tutorials.

This unit introduces the principles underpinning the design and conduct of high quality controlled clinical trials to generate good evidence for health care decision making. The topics include clinical trial design, randomisation, sample size, measures of treatment effect, methodological issues, trial protocols, and ethical principles.

This unit of study is intended for students who have completed Epidemiology Methods and Uses (or an equivalent unit of study) at a credit or higher level. It is designed to extend students' practical and theoretical knowledge of epidemiology beyond basic principles and in particular to give them a practical understanding of how epidemiological principles and practices are used in real world settings. Students are given an opportunity to acquire some of the practical knowledge and skills needed to undertake epidemiological research and also to consolidate their critical appraisal skills.

The overall aim of the course is to develop students' knowledge and skills of economic evaluation as an aid to priority setting in health care. Students will be introduced to the principles of economic evaluation and develop skills in the application of those principles to resource allocation choices. Emphasis will be placed on learning by case study analysis and problem solving in small groups. This unit covers: principles and different types of economic evaluation; critical appraisal guidelines; measuring and valuing benefits; methods of costing; modeling in economic evaluation, the role of the PBAC, introduction to advanced methods including use of patient-level data and data linkage. The workshops consist of interactive lectures, class exercises and quizzes.

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 (and expert opinion) 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; 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 and decision analysis software (TreeAge).