The course will cover the basic concepts in formulating a research question, literature reviews, study designs, selection of study populations, choice of measuring instruments, research ethics and knowledge translation. The course will provide students the opportunity to develop a research question and determine the appropriate research methods. Research designs that will be discussed include randomized clinical trials, cohort and case-control designs, qualitative methods, health technology assessment and the evaluation of diagnostic test properties.
HRM 733 – Statistical and Methodological Issues in Randomized Clinical Trials
This course will consider important statistical issues relating to the design, analysis and interpretation of randomized clinical trials. Specific topics will include issues in sample size determination, large simple trials, factorial designs, cluster randomization, cross-over trials, missing data in RCTs, meta-analysis, non-inferiority trials, subgroup analysis, composite outcomes in RCTs, stopping rules, cost-effectiveness analysis, statistical analysis of cost-effectiveness data, and repeated measures in RCTs.
HRM 737 – Economic Analysis for the Evaluation of Health Services
This course is a practical “How To” course in techniques for economic evaluation of health care programmes. The methodology of cost-benefit analysis, cost-effectiveness analysis, cost-minimization analysis and health status index models is examined in detail and several applications of each are reviewed during the first half of the course. During the second half of the course, each student is expected to complete an economic evaluation of a specific health care programme or intervention.
HRM 740 – Advanced Decision Analysis in Health Technology Assessment
This is an advanced course in methods for Health Technology Assessment (HTA). It is a combined theoretical and practical ‘hands-on’ course that teaches students the essential components of contemporary HTA. Students will be exposed to national and international HTA agencies and government decision making bodies, and their HTA guidelines and requirements. The course covers areas of systematic literature reviews, economic evaluation, analyses of uncertainty, value of information analyses, Bayesian decision analyses, quality assurance in economic appraisal, budget impact analysis, and knowledge translation. There is a heavy emphasis in this course on ‘hands-on’ learning-by-doing with computer application of ‘real world’ practical examples to cement student learning.
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