HP425      Half Unit
Statistical Methods in Health Care Economic Evaluation

This information is for the 2019/20 session.

Teacher responsible

Prof Alistair Mcguire Cowdray House 4.05

Availability

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

Pre-requisites

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 Michaelmas 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 Lent Term.

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

Course content

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 is the same course as HP4B5E Statistical Methods in Health Care Economic Evaluation (modular), but it has different teaching and assessment arrangements.

Teaching

15 hours of lectures and 20 hours of computer workshops in the LT. 1 hour of lectures in the ST.

Formative coursework

1000 word essay

Indicative reading

A full reading list is provided at the start of the course. The course makes use of selected parts of the following texts:

Assessment

Project (100%, 3500 words) in the ST.

The project will consist of an essay based question (30% of marks) and a STATA data analysis and interpretation question (70% of marks) due in ST.

 

Key facts

Department: Health Policy

Total students 2018/19: 33

Average class size 2018/19: 33

Controlled access 2018/19: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

Student performance results

(2015/16 - 2017/18 combined)

Classification % of students
Distinction 22.2
Merit 64.2
Pass 11.1
Fail 2.5