Epidemiology Statistics and Research Methods

Epidemiology, Statistics and Research Methods
This module provides an introduction to the basic concepts in statistics and the main epidemiological methods used to identify and quantify disease and associated risks. Statistical subjects 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, and survival analysis. You will be introduced to descriptive epidemiology, measures and comparisons of disease frequency, ecological studies, cross-sectional studies, prevalence studies, case-control studies, principles of screening, study design and questionnaires and qualitative research methods.

Learning Outcomes
By the end of this module, you should be able to:
1. Demonstrate a critical understanding of the main techniques used to investigate the epidemiology of the important causes of death and ill health
2. Identify, interpret and discuss appropriate epidemiological study designs to address population health questions
3. Interpret and discuss the import of epidemiological and statistical information that they have collected themselves, or has been presented by others

Credits
20 credits

Module Attendance Required
Two block weeks of teaching

Module Dates 
6 to 10 October 2014
20 to 24 October 2014 

Assessment
Unseen examination taking place in November 2014.

Module Coordinators
Clare Frobisher/Hubert Lam (Epidemiology)
Malcolm Price/Karla Hemming (Statistics)

Course fact file

Type of Course: Module