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Dr Ranjeeta Thomas

This course is available on the MSc in Global Health Policy, MSc in Health Data Science, MSc in Health Policy, Planning and Financing, MSc in International Health Policy and MSc in International Health Policy (Health Economics). This course is available as an outside option to students on other programmes where regulations permit.

This course assumes knowledge of elementary mathematics and statistics. Students who wish to take HP425, but who have not taken an introductory university course in statistics or econometrics, may wish to consider auditing MY451 (Introduction to Quantitative Analysis) in Autumn Term in order to prepare themselves for this course. Students who are unsure whether they have the requisite background are encouraged to approach the Lecturer before the start of Winter Term.

This course is envisaged to be complementary to HP422 (Cost-Effectiveness Analysis in Health Care), which is offered in Autumn Term.

This course develops the statistical and modelling techniques necessary to apply economic evaluation to the health care sector. Introduction to random variables and probability distribution, linear regression analysis, logistic regression analysis, survival analysis for health outcomes, survival analysis for treatment costs, parametric and non-parametric approaches for missing data, economic evaluation and clinical trials. Estimation of confidence intervals for cost-effectiveness ratios. Transformation of ratios - net benefit approach. Presentation of results, acceptability curves.

This course will be delivered through a combination of lectures and workshops totalling a minimum 30 hours during Winter Term. Students will also take part in computer workshops to complete problem datasets and practice key skills from the course.

1000 word essay

A full reading list is provided at the start of the course. The course makes use of selected pa