SA4G4 Half Unit
Statistical Methods in Health Care Economic Evaluation
This information is for the 2016/17 session.
Dr Maria Raikou
This course is available on the Executive MSc in Health Economics, Outcomes and Management in Cardiovascular Sciences and Executive MSc in Health Economics, Policy and Management. This course is not available as an outside option.
This course develops the statistical and modelling techniques necessary to apply economic evaluation to the health care sector.
Introduction to statistical methods, linear regression analysis, logistic regression analysis, survival analysis for health outcomes, survival analysis for treatment costs, economic evaluation and clinical trials. Estimation of confidence intervals for cost-effectiveness ratios. Transformation of ratios - net benefit approach. Missing data, parametric and non-parametric approaches. Presentation of analysis, acceptability curves.
13 hours of lectures and 8 hours of seminars (computer based)
In-class exercise during seminar time. Students will receive feedback on it from their seminar leader after completion.
The following are basic reading for the course: M Drummond & A McGuire (Eds), Economic Evaluation in Health Care: Merging Theory with Practice, OUP, 2002; M Drummond, B O'Brien, G Stoddart & T Torrance, Methods for the Economic Evaluation of Health Care Programmes, 2nd edn, OUP, 1997; M Gold, J Siegel, L Russell & M Weinstein, Cost-Effectiveness in Health and Medicine, OUP, 1996; M Johannesson, Theory and Methods of Economic Evaluation in Health Care, Kluwer, 1996; P Johansson, Evaluating Health Risks: An Economic Approach, CUP, 1995.
Students will be given access to essential readings before the course begins through the pre-sessional reading programme on Moodle, which they will be expected to read prior to the first day of class.
Take home exam (100%).
This is the same course as SA4C3 Statistical Methods in Health Care Economic Evaluation (H) but it has different teaching and assessment arrangements.
Student performance results
(2012/13 - 2014/15 combined)
|Classification||% of students|
Department: Social Policy
Total students 2015/16: 16
Average class size 2015/16: Unavailable
Controlled access 2015/16: No
Value: Half Unit