This module provides an introduction to basic concepts in statistics in Semester 1, and then covers more advanced statistical approaches for health economists in Semester 2. You will develop critical understanding of published research in health care related areas and be able to discuss and interpret quantitative results from such.
Statistical subjects covered will include: types of data and data presentation, descriptive statistics, basic probability, distribution theory including the normal distribution and its properties, sampling theory, principles and techniques, inferential statistics, analysis of categorical and continuous data, non-parametric tests, correlation and regression, survival analysis, multivariate regression analysis, Bayesian interpretation of probability and Bayesian updating.
The module is taught at the University of Birmingham in three three-day blocks. The first two blocks (Parts 1 and 2 of Epidemiology, Statistics & Research Methods (ESRM)) are delivered during Semester 1. The final block (Advanced Statistics) is taught in Semester 2. Each day lasts from 9.30am to 5.00pm.
Module Attendance Required
9 teaching days – (3 blocks of 3 days - 50 hours contact)
7th – 9th October 2013 - Part 1A
21st – 23rd October 2013 - Part 1B
20th – 22nd January 2013 – Part 2
Examination (50%) – unseen examination consisting of short notes and problem-solving questions (1.5 hours).
Assignment (50%) – 3000-word equivalent assignment
Students must achieve at least 50% as an average across both assessments to pass the module.
Academics involved in the delivery of this module
Dr Billingsley Kaambwa, Research Fellow and Mrs Christina Penaloza, Research Fellow, Health Economics Unit.